From burgers to smartphones, I’ve crunched over 5 million customer reviews to figure out what people actually care about.
Created tools that helped global consulting firms and business leaders understand insights without touching a single line of code.
Co-founded a product that saves you from drowning in newsletters by bringing only the good stuff to your dashboard.
AI Product Development, Model Development, Deep Learning, Natural Language Processing (NLP), Chatbot Development, Language Model (LLM) Application, Social Good Applications.
Model Training, Feature Engineering, Model Evaluation, Optimization.
Sentiment Analysis, Document Summarization, Named Entity Recognition (NER), Text Classification, Question Answering.
Data Analysis (Pandas, NumPy), Data Visualization (Matplotlib, Seaborn), Web Development (Flask, Django), Deployment (Streamlit, GitHub)
Data cleaning, Feature engineering, Standardization, Normalization, Validation, Quantitative Analysis, Statistics, SQL, Power BI, Data Collection and ETL Processes.
Movie Pro.AI helps movie producers and scriptwriters make data-driven decisions by analyzing scripts in-depth. It provides insights like character dialogue distribution, emotional tone across scenes, and key themes, enabling production teams to optimize scripts and predict audience reactions.
Built a pipeline that processed 50,000+ reviews, applied text analytics + ML to extract themes and sentiment, validated insights with statistical tests, and delivered them through interactive dashboards for decision-makers.
Created for Taylor Swift fans, this recommendation system matches songs to users based on their preferences. Analyzing the lyrics, themes, and mood of her songs, it suggests tracks that align with the listener’s taste, making it easy to explore new favorites or rediscover hidden gems.
