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ankii User

@ankiiuser

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I build machine learning models for forecasting, sentiment analysis, and vehicle health estimation.

India

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What I'm looking for

I'm looking to apply machine learning, data analysis, and research skills to practical problems in forecasting, NLP, and data-driven products while continuing to learn and build impactful solutions.

I've built machine learning solutions at Teachnook and WorldQuant Brain, including a sentiment-analysis chatbot that categorized 10,000+ tweets and improved prediction accuracy by 30%, plus validated stock alphas across the top 2,000 stocks in the USA and China.

I'm pursuing Mechanical Engineering with a Minor in Data Science at IIT Jodhpur. My projects span e-commerce demand forecasting, vehicle health estimation using IoT exhaust readings, and data-driven computational fluid mechanics, using Python, Scikit-learn, Pandas, Streamlit, and statistical forecasting models.

Experience

Work history, roles, and key accomplishments

AI Intern

Teachnook

Apr 2024 - May 2024 (1 month)

Designed a sentiment analysis chatbot that processed and categorized over 10,000 tweets, improving sentiment prediction accuracy by 30%. Applied NLP techniques such as tokenization, stop-word removal, and stemming/lemmatization, reducing preprocessing time by 25%.

Natural Language Processing Sentiment Analysis Tokenization Stemming Lemmatization Multi Layer Perceptrons Python

Research Consultant

WorldQuant Brain

Nov 2023 - Mar 2024 (4 months)

Conducted research and analysis of external market trends, achieving a Sharpe ratio of 2 to 5.45 with turnover of 24 to 28%. Identified alphas that maximized returns of 8 to 10% for given stocks by leveraging various operators to manipulate factors such as Sharpe ratio, decay, and delay.

Quantitative Research Alpha Generation Sharpe Ratio Analyse Des Stocks Data Analysis