Ninad Magdum Snowflake, ELT, ETL, AWS, Python, Data engineering
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We are a team of IT professionals with experience ranging from 3-10 years along with IITians and NITians, who have started an initiative of providing students with industry level AI/ML/Data Engineering knowledge and projects that can be used as your final year projects with hands on experience. These projects/teaching material will help you in long run and will be added strength to your resume.
We provide interactive industry level projects that delivers personalized executive coaching in more affordable way.
We help colleges and students to learn in more engaging environment as compared to ‘traditional online’ and ‘offline education’ methods with practical paths to engineers and engineers-in-training.
We provide projects for IT, Electronics, Electrical. Below are the few of the project lists.

Stock Price Prediction
Walmart Sales Prediction
Airbnb Data engineering
Zomato Orders Analysis
New York child care program Analysis
Redbus Data Analytics
IPL Data Analytics
Covid-19 Analytics
Twitter Sentiment Analysis
Netflix Customer Churn Prediction
Social Distancing Analysis
Email Spam Filtering
Image Segmentation of Rotten Fruits & Vegetables
Face Detection by Image Discriminating
Real Time Speech Driven Face Animation
System To Measure Solar Power Using ML
IOT based Smart Agriculture Monitoring System Using ML & Data engineering
Smart Charger Monitoring System using Arduino and ML
Smart Vehicle Headlight Auto Switching Using ML
Smart washroom using ML
Car parking solution using AI
Fan speed control using ML
Energy auditing using AI & Data engineering
Electronic Water Level Controller Device using AI
Plant Moisture Monitoring System using AI & Data engineering
Intelligent Tourist Information System
Automatic Speech Recognition (ASR)
Optical Character Recognition
Image based object classification
Motor Speed control using ML

Subjects

  • AWS (Amazon Web Services) Beginner-Expert

  • Snowflake cloud data warehouse Beginner-Expert

  • ETL Beginner-Expert

  • Data engineering Beginner-Expert

  • Python - Time-series forecasting Beginner-Expert

Experience

  • Senior Data Engineer (Oct, 2021–Present) at Factspan Analytics
     Built Data ingestion pipelines using AWS Glue, Snowpipes, Apache Nifi.
     Accomplished excellent ETL knowledge by building complex SCD flows using streams, tasks, snowflake sql.
     Automated multiple process using python reducing 25% of manual intervention and helping to complete the sprints in time. Developed Time Series ML model to predict the Snowflake warehouse size. Built SnowPipe/Snowtasks Reporting Framework reducing 90% of monitoring efforts.
     Performed Text Preprocessing like removing stop words, tokenization using n-grams, normalization, negation handling, emoji cleaning, lemmatization.
     Developed logic for polarity of tweets and reviews using NLTK VADER, TEXTBLOB, Pandas and Web scraping by converting the reviews and tweets into trigrams and adding some mathematical formulae to increase the accuracy of negative reviews/tweets.
     Worked as AWS Data Engineer to ingest data from cross account S3 location using AWS Lambda, AWS SQS, AWS SNS. Built CICD pipeline using GIT, AWS CodeBuild, AWS ECR and Docker images.
     Built a generic real time framework to migrate data from AWS S3/Snowflake to Google cloud storage, Globalscape & Salesforce using AWS SQS, AWS Lambda, AWS Step Function and AWS Secrets Manager.
     Built Customer segmentation model to score the visitors based on their previous activities. Used Google Vertex AI to build the model using decision tree with 97% accuracy.
     Worked as solution lead and senior data engineer to build data pipelines for 100+ tables using AWS API Gateway, AWS Lambda, AWS S3, Rabbit MQ, Snowflake, DBT.
     Built AWS Kinesis Firehose data stream, AWS MSK to ingest data from Google Pubsub.
     Built AWS DMS tasks to migrate data from RDBMS source systems.
     Used DBT Core for ETL development and reduced 20% of testing efforts and increased 50% of code quality.
     Built a NLP based resume sorting model reducing the 75% efforts of talent acquisition team and reducing the 100% amount spent on ATS tool.
  • Senior Business Intelligence Analyst (Jan, 2020–Oct, 2021) at Capgemini
     Worked as a team lead for one of the most complicated application during
    migration.
     Expert in unique technologies like ETL, SQL, Snwoflake, Python, Tableau
    Teradata and also being flexible on working on various
    other technologies.
     Have quickly gathered up the application knowledge of
    new domain and actively worked on the same.
     Helping to deliver the tasks on time by extending the
    working hours and working in weekends as required.
     Trained freshers/shadow resources to make them
    comfortable with the technologies and help them to
    easily complete the tasks.

Education

  • Post graduation diploma (Jan, 2021–now) from Symbiosis centre for distance learning, pune
  • BE (Jul, 2016–Jun, 2019) from Zeal College of Engineering and Reasearch, Pune–scored 7.45

Fee details

    ₹800–2,000/hour (US$9.58–23.95/hour)

    Depending if student needs project/practical experience/ industrial projects and technologies.

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