Rakeshbabu Kalivela

Experienced Data Scientist with a strong foundation in statistical analysis, machine learning, and data visualization. Proficient in leveraging advanced algorithms and large datasets to uncover trends and develop predictive models that drive business growth. Skilled in programming languages such as Python, and SQL, with a proven track record of enhancing client reporting tools, optimizing database queries, and delivering actionable insights through clear data visualizations. 

Embibe, India                                                                                                                    Apr 2019 - Apr 2023

Team Lead                                                                                                                        Jun 2021 - Apr 2023

User intention and Sentiment Analysis

• Created 30+ clusters using K-Means clustering model to detect user intentions from chat and question-answer system data 
• Suggested intent based product features like Rank predictor, College predictor and etc to engage the student on product
• Built a training data of 100000+ examples for sentiment analysis by converting the unsupervised data to supervised using clustering technique
• Developed a model to predict sentiment analysis to find the user queries are positive or negative on chat data with BERT custom trained sentiment analysis
• Ran a POC on sentiment analysis with logistic regression and TF-IDF. Additional features are generated using n-gram method

Recommendation system - POC

• Prepared a POC model using Content based and Collaborative filtering methods to recommend the products to different user cohorts
• Experimented and performed exploratory data analysis with different data sources like Search, Practice, Test, Knowledge graph and Concept mastery

Data Analyst                                                                                                                    Apr 2019 - Jun 2021

Content Quality Intelligence

• Creating a dashboard to report 150+ metrics in Grafana to measure and analyse the quality of questions, concepts and tests at various levels like chapter, subject, exam and goal
• Measuring the quality of content through user engagement data like average time spent, retention analysis, bounce rate and user count data by extracting Google analytics API and Elastic search

Content Management 

• Developed Knowledge Graph – a search engine that indexed the whole syllabus with definitions, relevant links, videos, and a comprehensive mind map of all the 10,655 concepts
• Academic Knowledge Graph - Documentation, Pedagogy, Report generation & graph hygiene using pandas & NetworkX and visualisation with Gephi for 38 thousand nodes and 400 thousand relations for academic subjects
• Managed up to 30 interns in a team of 2, to develop over 1,00,000 questions over a year
• Awarded best performance award twice in two years

Edventure, Narayana and Sinhal’s, Educational Institutes, India                                  Apr 2013 - Mar 2019

Lecturer and Sr Lecturer

• Taught JEE Physics and designed curriculum maintaining the high-quality educational standards 
• Conducted regular Student Counselling and PTM meetings
• Enhanced skills with innovative teaching methods and materials with time

University of York                                                                                                                                    Sep 2024

MSc in Data Science 

Indian Institute of Technology Bombay                                                                                           Aug 2014

Chemical Engineering