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Lead Data Scientist and AI-ML practitioner
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HappiestMindsTechnologies
Data Scientist
June 25, 2026 – Present
rl-timeseries-forecasting
March 10, 2024 – April 2, 2024
rl-timeseries-forecasting — GitHub repository
View Projectexam-proctoring-video-analytics
July 21, 2020 – March 24, 2023
This project implements a computer vision based virtual online exam proctoring software by capturing facial recognition, head pose and eye gaze through webcam using CNN based deep learning models
View ProjectPersonalized-cancer-detection
July 3, 2020 – July 3, 2020
Classify the given genetic variations/mutations based on evidence from text-based clinical literature.TF-IDF features along with Random Forest Classifier gave best results
View Projecthuman-activity-recognition-from-mobile-data
June 29, 2020 – June 29, 2020
Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements.LSTM gave best results
View ProjectNYC-taxi-prediction
January 18, 2020 – January 18, 2020
Taxi demand prediction on hourly basis for Ny city.The modelling is done on moving average and fourier transform based features after applying tsne .xgboost gave best performance
View Projectstock-price-prediction-on-Dew-Jones-industrial-average-index
January 5, 2020 – January 5, 2020
developed Conv1d-LSTM model to predict movement of Industrial Average stock price based on news headlines
View Projectchest-Xray-classification
January 5, 2020 – January 5, 2020
identify effusion in chest Xray images using morphological transformation with Opencv for image processing and 2D-CNN for image classification.
View ProjectAmazon-apparel-recommendation
January 5, 2020 – January 5, 2020
build content based recommender from derived feature set of data of popular retail giant using idf weighted w2v based semantic similarity for text metadata and imagenet trained VGG-16 for image recommendation
View ProjectNetflix-movie-recommendation
January 4, 2020 – January 4, 2020
created matrix factorization (SVD) based collaborative filtering algorithm to recommend movies to netflix users based on historical preferences
View ProjectReinforcement-Learning--Cab-Driver-optimum-ride-selection
January 4, 2020 – January 4, 2020
developed RL-based algorithm using state based DQN architecture with simulated MDP to help cab drivers effectively decide which cab-request to accept for maximum profit
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science through a diverse range of personal projects, indicating a proactive and self-driven learning approach. The breadth of projects, from computer vision to reinforcement learning, suggests adaptability and a willingness to explore different domains within data science. The current role as a Data Scientist further reinforces alignment with a data-driven culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.