Jatin RajaniData scientist,Python,SQL,R,POWERBI,TABLEAU,excel
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I am a data scientist by profession in which comunnicating complex concepts in lucid manner is an integral component which can be showcased by my experience by working in product company and fortune 500 clients,Teaching any thing is a matter of presenting and communicating in simplistic manner and it is a matter of grit and perseverance by showcasing enough solved examples and helping student in his learning style is my one of the strength areas,i am a lifelong learning where i take regular moocs from leading professors which has helped me imbibe their styles
Subjects
Python Expert
Data analysis Expert
SQL and Data warehousing Beginner-Expert
Excel Advanced Expert
Experience
Data Analyst (Sep, 2021–Present) at Rapido
Captain Retention|Customer Retention: Working closely with Operations Team.Translating business requirements into actionable insights using SQL
Data Analyst (Feb, 2020–Sep, 2021) at Centre for policy Research
Decline of Indian National Congress|German Think Tank. Analysis of decline of voteshare of INC based on population and election data. Extracted data using ML and web scraping and analysed population voting patterns based on gender, caste, economic background, religion, etc. Estimated downfall of 8% in mobilization for INC and suggested focus on women as they were most loyal supporters. Election priorities analysis (Manifesto)|German Think Tank. Analysis of election party manifestos over time period 1951-2019 to determine agenda to appeal to votebank.Utilised ML and text extraction and identified Development has been important concern with 45 percent average over the years. Voting Pattern In UP Panchayat Elections|German Think Tank Scraped Data of Voters Of UP Villages classified them into Hindu,Muslim using Neural Network to identify whether same caste voting was done or not.
Freelance Data Analyst (Dec, 2019–Feb, 2020) at Unyscape Infocomm
Utilised Automated Data Extraction from Google,Facebook,Snapchat API's to create data assets.Helped the marketing team to segregate customers into categories based on demographics data to run targeted ads for leading Edu-Tech client which increased CTR by 5%.
Decision Scientist (Jun, 2019–Oct, 2019) at Mu Sigma
Helped international retail client identify factors driving demand for different products and categories by carrying out extensive EDA to derive insights.Demand prediction by using ML models (Sarima, prophet) resulted in better inventory management. Technologies Used Python,SQL
Education
B Tech (Aug, 2014–Aug, 2018) from USICT, GGSIPU, Delhi–scored 80