Ritesh Kumar
Data Science Professional
Data Science Leader with over 15 years of experience delivering multimillion-dollar value for Fortune 500 companies through Artificial Intelligence and Machine Learning solutions. Expert in transforming complex data into actionable intelligence, leading high-performance teams, and implementing robust data governance frameworks. Proven ability to collaborate with C-suite executives to architect scalable innovative solutions that enhance efficiency, optimize decision-making, and drive revenue growth.
Projects
UNGA Topic Analysis: Analyzed speeches from the UN General Assembly using LDA and Topic GPT, revealing the distinct strengths of each model. LDA identified overarching themes such as peace and security, providing a wide-angle view of global concerns. In contrast, Topic GPT delved into more nuanced issues like climate change and human rights, offering a richer, more detailed perspective on international discourse. Read More
Algorithmic Trading with Deep Learning for BankNifty: Developed an advanced algorithmic trading system leveraging CNN to forecast minute-by-minute price movements of the BankNifty index. The system achieved notable predictive accuracy, and showed promise for profitability in trading under live market conditions. Read More
Salesperson Segmentation for Revenue Optimization: Implemented k-means clustering to segment salespersons based on performance metrics. The analysis revealed two distinct clusters: one group making fewer but high-value sales, and another making twice as many sales but with significantly lower average transaction values. This insight led to tailored training and resource allocation strategies, resulting in a 15% increase in overall sales revenue.
Netflix Performance Metrics Dashboard: Conducted in-depth data analysis and built a dynamic Power BI dashboard, leading to a 25% boost in Customer Satisfaction (CSAT) during weekends.
LLMs in Power BI: Engineered LLM-powered text summarization and topic-extraction in Power BI, integrating Gemini and GPT for dynamic, filter-responsive summaries in an Agent Feedback dashboard, overcoming technical limitations through innovative text-to-image conversion.
Media Mix Models for Maruti Car Sales: Led a cross-functional team to develop media mix models for eleven Maruti car models, analyzing over 50 sales-influencing factors, including seasonality, the impact of COVID-19, and marketing expenditures. Rigorous exploratory data analysis revealed key trends, leading to the adoption of Linear Regression combined with Box-Cox transformation for 8 models, delivering optimal predictive accuracy. The solution, securely deployed on AWS, empowered Maruti’s marketing team to forecast sales outcomes, with the project progressing smoothly through regular client reviews and feedback.