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Sukhendu Sarkar Senior Data Scientist | Researcher | Teacher
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My Experience:
- Being an AI Architect and Researcher, I am passionate to mentor and deliver research-based solution methodology based on use cases, problem statements, domains and data samples;
- Analyze relevant existing algorithms, technologies, extract the significance as well as shortcomings, difficulties, constraints, controlled and uncontrolled parameters, model accuracy with overfitting or underfitting;
- Design, implement and deployment of robust approach, containerized modular web services for end-to-end integration and obtaining desired scalable solutions attaining higher accuracy
I welcome students/clients who wants to learn and engage with real-time project development, implement and validate research topics, participate in developing and deploying solutions using emerging technologies in AIML domains like Generative AI, Conversational AI, Vision Model to address current challenges in industrial use cases.
I have core competence (theory as well as practical sessions) in the following domains:
1. Artificial Intelligence & Machine Learning (AIML)
2. Generative AI, LLM, RAG, LlamaIndex, Vector Embedding, FAISS
3. Data Mining, Text Mining, Social Area Networks
4. Deep Learning, Transformers, Encoder-Decoder with Attention Architecture
5. Statistical Analysis & Multivariate Regression Analysis
6. Image Processing, Image Analytics, Image Restoration
7. Data Analytics, Data Validation and Visualization
8. Soft Computing
9. Pattern Recognition
10. Fuzzy And Neural Networks
11. OLS Estimator, Autocorrelation, Multicollinearity, SEM Analysis
13. MATLAB/Python/R/STATA/SPSS/Java/C/MySQL
Find below some of the Completed Industrial Projects with different Domains under my Supervision:
==============================================
Domain: Image Processing, Pattern Recognition, Machine Learning
--------------------------------------------------------------------------------------------
1. Robust Gait Recognition System For Human Identification
2. A Secure Human Face Recognition system
3. Rough Set with Fuzzy Parameter for Object Recognition and Tracking
4. Image Encryption using Vector Quantization and Chaotic Maps
5. Fast Particle Swarm Optimization with Fuzzy Constrained for Image Restoration
6. Motion vector selection for Image watermarking using hybridized rough set theory with Particle Swarm Optimization Approaches
Domain: Data Mining
--------------------------------------------------------------------------------------------
1. Mining Uncertain Data using Combined Apriori and Frequent Pattern Algorithms
2. A Possibilistic Fuzzy C-Means with Error Prediction Approach for Mining Time-Series Data
3. Apriori Frequent Pattern Web Mining for Temporal Fuzzy Association Rule Extraction
4. Minimum Spanning Tree Approach for Mining Incremental Large Databases with Hadoop
Domain: Natural Language Processing, Text Analysis, Social Area Networks
-------------------------------------------------------------------------------------------
1. COMPARATIVE STUDY AND ANALYZE VARIOUS NLP TECHNIQUES FOR SPEECH RECOGNITION
2. FINDING INFLUENTIAL USER COMMUNITY ON SOCIAL NETWORK
3. DETECTION OF NOVELTY IN TEXT DOCUMENTS BY TOPIC MODELING
4. DECISION-BASED SEMANTIC SIMILARITY APPROACH FOR EFFICIENT QUERY RETRIEVAL
5. Prediction of Leaning Patterns in Online Social Network
Offering Online Assistance in respective domains:
==============================================
1. Data Science :
----------------------------------------------------------
a. Data Analysis with Visualization,
b. Rule Extraction,
c. Algorithm Development for Big Data Analysis,
d. Statistical Pattern Analysis
e. SPSS,
f. STATA,
g. Python,
h. R
2. Data Visualization :
----------------------------------------------------------
a. Histogram
b. Scatter-Plot
c. Q-Q Plot
d. Box-Plot
e. Heatmap
f. Dendogram
g. Classification Tree
h. Smoothing spline
3. Pattern Recognition/Machine Learning/Artificial Intelligence:
----------------------------------------------------------------------------------
a. Generalized Linear Models
b. Decision trees
c. K-Nearest Neighbor
d. Support Vector Machine
e. Random Forest
f. Bootstrapping
g. Bagging
h. Boosting
i. Classification
j. Clustering
k. Factor analysis
l. Principle Component Analysis
m. Multiple Discriminant Analysis
n. Neural Networks
o. Deep Learning
p. Uncertainty/Future prediction Analysis
4. Statistical Analysis
----------------------------------------------------------
a. Hypothesis Testing
b. Analysis of Statistical Distributions
c. Maximum Likelihood Estimation
d. Multiple Linear Regression Analysis
e. Logistic Regression Analysis
f. t-Test Analysis
g. ANOVA
h. Chi-Square Evaluation
i. Mann-Whitney U-test Analysis
j. Parametric/Non-parametric Analysis of Goodness-of-Fit
k. Pearson/Spearman Correlation Analysis
l. Nominal Data with correspondence Analysis
m. Logit and Probit Regression Analysis
n. Truncated Regression Analysis
o. Quantile Regression Analysis
p. Propensity Score Evaluation
q. Mixed Effect Model Evaluation
r. Instrumental Variable/parameter Identification
s. Sampling Distribution Analysis and Inference
t. Structural Equations Modeling and Evaluation
u. Time Series Analysis
5. Game Theory/Optimization :-
----------------------------------------------------------
Design and Develop robust algorithms for
a. Game Theory
b. Operation Research
c. Optimization
d. Queuing Theory
e. Bayesian Network
f. Various Multi-object complex problems for large data set.
6. Image Processing -
-----------------------------------------------------------------------
Design & Developing robust image processing/computer vision algorithms using
a. OpenCV
b. MatLab,
c. java
for various applications ranges from Medical Image Analysis to Bio-metric, Surveillance System and so on.
a. Discrete, Continuous, Multiresolution, Multiscale Wavelet Transform Analysis
b. Filtering, Enhancement Approach
c. Deconvolution Evaluation
d. Geometric Registration Analysis
e. Disparity Analysis in Remote Sensing
f. Image Compression
g. Object Detection
h. Multiscale Vision Model Evaluation
i. Clustering-based Segmentation
j. Image restoration and validation
7. Database Development -
------------------------------------------------------------------------
Develop complex high-dimensional databases according to the requirements in order to analyses and extract the relevant data in less amount of time computation.
8. Software Tools Learning/assistance:
------------------------------------------------------------------------
a. Python with packages (scikit, stat, spacy, matplotlib, tenorflow etc)
b. MatLab
c. R
d. OpenCV
e. SPSS/STATA
f. NS2
g. Java
h. C/C++
i. SQL
Deliverable :
==============================================
a) In-depth understanding with real-time Examples
b) Real-time Problem Analysis and Case-Study
c) Implemented Codes with Results Analysis
d) Assignment Solutions
Online Complete Assistance (Theory & Implementation) in all courses from various online Learning Programs:
==============================================
1. Udacity
2. Coursera
3. EDx
4. Other Online Universities/Colleges
==============================================
- Being an AI Architect and Researcher, I am passionate to mentor and deliver research-based solution methodology based on use cases, problem statements, domains and data samples;
- Analyze relevant existing algorithms, technologies, extract the significance as well as shortcomings, difficulties, constraints, controlled and uncontrolled parameters, model accuracy with overfitting or underfitting;
- Design, implement and deployment of robust approach, containerized modular web services for end-to-end integration and obtaining desired scalable solutions attaining higher accuracy
I welcome students/clients who wants to learn and engage with real-time project development, implement and validate research topics, participate in developing and deploying solutions using emerging technologies in AIML domains like Generative AI, Conversational AI, Vision Model to address current challenges in industrial use cases.
I have core competence (theory as well as practical sessions) in the following domains:
1. Artificial Intelligence & Machine Learning (AIML)
2. Generative AI, LLM, RAG, LlamaIndex, Vector Embedding, FAISS
3. Data Mining, Text Mining, Social Area Networks
4. Deep Learning, Transformers, Encoder-Decoder with Attention Architecture
5. Statistical Analysis & Multivariate Regression Analysis
6. Image Processing, Image Analytics, Image Restoration
7. Data Analytics, Data Validation and Visualization
8. Soft Computing
9. Pattern Recognition
10. Fuzzy And Neural Networks
11. OLS Estimator, Autocorrelation, Multicollinearity, SEM Analysis
13. MATLAB/Python/R/STATA/SPSS/Java/C/MySQL
Find below some of the Completed Industrial Projects with different Domains under my Supervision:
==============================================
Domain: Image Processing, Pattern Recognition, Machine Learning
--------------------------------------------------------------------------------------------
1. Robust Gait Recognition System For Human Identification
2. A Secure Human Face Recognition system
3. Rough Set with Fuzzy Parameter for Object Recognition and Tracking
4. Image Encryption using Vector Quantization and Chaotic Maps
5. Fast Particle Swarm Optimization with Fuzzy Constrained for Image Restoration
6. Motion vector selection for Image watermarking using hybridized rough set theory with Particle Swarm Optimization Approaches
Domain: Data Mining
--------------------------------------------------------------------------------------------
1. Mining Uncertain Data using Combined Apriori and Frequent Pattern Algorithms
2. A Possibilistic Fuzzy C-Means with Error Prediction Approach for Mining Time-Series Data
3. Apriori Frequent Pattern Web Mining for Temporal Fuzzy Association Rule Extraction
4. Minimum Spanning Tree Approach for Mining Incremental Large Databases with Hadoop
Domain: Natural Language Processing, Text Analysis, Social Area Networks
-------------------------------------------------------------------------------------------
1. COMPARATIVE STUDY AND ANALYZE VARIOUS NLP TECHNIQUES FOR SPEECH RECOGNITION
2. FINDING INFLUENTIAL USER COMMUNITY ON SOCIAL NETWORK
3. DETECTION OF NOVELTY IN TEXT DOCUMENTS BY TOPIC MODELING
4. DECISION-BASED SEMANTIC SIMILARITY APPROACH FOR EFFICIENT QUERY RETRIEVAL
5. Prediction of Leaning Patterns in Online Social Network
Offering Online Assistance in respective domains:
==============================================
1. Data Science :
----------------------------------------------------------
a. Data Analysis with Visualization,
b. Rule Extraction,
c. Algorithm Development for Big Data Analysis,
d. Statistical Pattern Analysis
e. SPSS,
f. STATA,
g. Python,
h. R
2. Data Visualization :
----------------------------------------------------------
a. Histogram
b. Scatter-Plot
c. Q-Q Plot
d. Box-Plot
e. Heatmap
f. Dendogram
g. Classification Tree
h. Smoothing spline
3. Pattern Recognition/Machine Learning/Artificial Intelligence:
----------------------------------------------------------------------------------
a. Generalized Linear Models
b. Decision trees
c. K-Nearest Neighbor
d. Support Vector Machine
e. Random Forest
f. Bootstrapping
g. Bagging
h. Boosting
i. Classification
j. Clustering
k. Factor analysis
l. Principle Component Analysis
m. Multiple Discriminant Analysis
n. Neural Networks
o. Deep Learning
p. Uncertainty/Future prediction Analysis
4. Statistical Analysis
----------------------------------------------------------
a. Hypothesis Testing
b. Analysis of Statistical Distributions
c. Maximum Likelihood Estimation
d. Multiple Linear Regression Analysis
e. Logistic Regression Analysis
f. t-Test Analysis
g. ANOVA
h. Chi-Square Evaluation
i. Mann-Whitney U-test Analysis
j. Parametric/Non-parametric Analysis of Goodness-of-Fit
k. Pearson/Spearman Correlation Analysis
l. Nominal Data with correspondence Analysis
m. Logit and Probit Regression Analysis
n. Truncated Regression Analysis
o. Quantile Regression Analysis
p. Propensity Score Evaluation
q. Mixed Effect Model Evaluation
r. Instrumental Variable/parameter Identification
s. Sampling Distribution Analysis and Inference
t. Structural Equations Modeling and Evaluation
u. Time Series Analysis
5. Game Theory/Optimization :-
----------------------------------------------------------
Design and Develop robust algorithms for
a. Game Theory
b. Operation Research
c. Optimization
d. Queuing Theory
e. Bayesian Network
f. Various Multi-object complex problems for large data set.
6. Image Processing -
-----------------------------------------------------------------------
Design & Developing robust image processing/computer vision algorithms using
a. OpenCV
b. MatLab,
c. java
for various applications ranges from Medical Image Analysis to Bio-metric, Surveillance System and so on.
a. Discrete, Continuous, Multiresolution, Multiscale Wavelet Transform Analysis
b. Filtering, Enhancement Approach
c. Deconvolution Evaluation
d. Geometric Registration Analysis
e. Disparity Analysis in Remote Sensing
f. Image Compression
g. Object Detection
h. Multiscale Vision Model Evaluation
i. Clustering-based Segmentation
j. Image restoration and validation
7. Database Development -
------------------------------------------------------------------------
Develop complex high-dimensional databases according to the requirements in order to analyses and extract the relevant data in less amount of time computation.
8. Software Tools Learning/assistance:
------------------------------------------------------------------------
a. Python with packages (scikit, stat, spacy, matplotlib, tenorflow etc)
b. MatLab
c. R
d. OpenCV
e. SPSS/STATA
f. NS2
g. Java
h. C/C++
i. SQL
Deliverable :
==============================================
a) In-depth understanding with real-time Examples
b) Real-time Problem Analysis and Case-Study
c) Implemented Codes with Results Analysis
d) Assignment Solutions
Online Complete Assistance (Theory & Implementation) in all courses from various online Learning Programs:
==============================================
1. Udacity
2. Coursera
3. EDx
4. Other Online Universities/Colleges
==============================================
Subjects
-
Python Beginner-Expert
-
Machine Learning Beginner-Expert
-
Image Processing Beginner-Expert
-
Data Science Beginner-Expert
-
GenAI Beginner-Expert
Experience
-
Assistant Professor (AIML) | Solution Architect AIML | Lead Data Scientist | Researcher (Jan, 2022–Present) at LearningMate Solutions Pvt Ltd
Being an Researcher and Expertise in AIML product development, I have Industry as well as Academic exposure for product/PoC architecting, designing roadmap, algorithms, and end-to-end web-based API integration, deployment.
Responsible for identifying data patterns, their proximity towards problem statements, designing and developing of prototypes based on innovative methodology and technology in the areas like Generative AI, Computer Vision, NLP, Data Science, Statistical Exploration, Deep Learning Model, Econometrics are keys to those.
Education
-
Phd (Aug, 2012–Aug, 2015) from INDIAN STATISTICAL INSTITUTE, B.T. Road Bus Stop
Fee details
₹850–1,500/hour (US$8.95–15.79/hour)
In-detailed Course Learning with Practical Session/Project Assistance in affordable price
-
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Kolkata, West Bengal, India
-
Can travel:
No
-
- Last login: Mar 3
- Registered: Jan 31, 2017
- Total Teaching exp: 15.0 yrs.
- Teaches online: Yes
- Online Teaching exp: 10.0 yrs.
- Teaches at student's home: No
- Homework Help: Yes
-
Gender: Male
- Works as: Individual teacher
- Speaks: Bengali, English, Hindi
-
Fee:₹850–1,500/hour(USD 8.95–15.79/hour)
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