Analytical, innovative, and motivated data scientist with experience in data analysis, statistical modeling, and machine learning techniques. Proficient in customer data insights, predictive analytics, and data-driven decision-making. Adept at developing strategies for extracting valuable insights from complex datasets and driving data-driven solutions.
Skills & Expertise
Technical Skills
PythonPyTorchRMachine LearningData StructuresData VisualizationTableauPowerBIAWSHTML/CSSJavaScriptReactNext.jsSQLMongoDBReduxTailwindFirebaseRestAPI
Core Competencies
LeadershipActive ListeningProblem SolvingPublic SpeakingAdaptabilityVerbal ProficiencyPersuasion
Certifications
Google Advanced Data Analytics Professional
Capgemini Appreciation Certificate
Deep Learning Certification (deeplearning.ai)
Advanced Java Star Performer
Machine Learning Stanford
Professional Experience
- Engineered an autonomous fitness coaching platform with multi-agent LLM-powered workflows on Cloudflare, using Google Gemini models.
- Implemented caching and memory management, enabling real-time workout generation and reducing response times by 90% to 200ms.
- Integrated an AI usage-based subscription model by calculating per-user costs (AFR) to ensure application profitability.
- Converted AI-developed features into a sustainable revenue stream, achieving a 60% profit margin on AI usage.
Skills: Claude, LLM, OpenAI, Azure, React Native, Firebase, Sentry, Clerk
- Optimized LLM Models for intelligent document retrieval in customer service, leveraging RAG and Azure, increasing query accuracy by 30%.
- Built predictive models for sales trends and inventory management, reducing delivery downtime by 20% via demand forecasting.
- Enhanced CVR by 50% using personalized recommendation chatbots, streamlining instant data access and cutting manual workload.
Skills: LLM, VLM, OpenAI, Azure, React Native, MongoDB, Python, NumPy, Pandas, Matplotlib
- Implemented RAG-based LLM models for a finance options trading chatbot, improving premium client satisfaction by 50% through efficient backtesting retrieval.
- Designed regression models with 50K+ FinTech data points to predict market patterns, improving accuracy by 17%.
- Conducted A/B testing and advanced data modeling to analyze historical trends, boosting SEO reach and social media campaigns, resulting in 100K+ active users.
- Built dashboards using Tableau and Google Analytics to monitor user activity, producing ad-hoc insights, and improving engagement by 80%.
Skills: LLM, Machine Learning, Tableau, Python, MySQL, NumPy, Pandas, Matplotlib, Seaborn
- Led the end-to-end development of ML models such as Random Forest and GBM on Amazon AWS SageMaker to analyze annual pass holder churn rates and automate credit card failure reporting, resulting in a 63% increase in business performance.
- Developed an optimized face recognition system using CNNs to validate guest authentication and secure access, while collaborating with cross-functional teams, resulting in reduced false positives by 40%.
- Analyzed over 1 million Disneyland visitor records using clustering algorithms for data visualization to uncover customer purchase patterns, leading to implementation of targeted personalization strategies that increased profits by $50,000.
- Developed dashboards to visualize 70% more profits during peak season to communicate seasonal trends and make future campaigns.
Skills: React, Python, JavaScript, MySQL, Face Recognition, Service Now, Splunk, AWS, Jira, Confluence, Rest API
- Applied descriptive analysis to assess risk severity metrics in clients' accounts, identifying 10+ critical insights and potential compliance issues.
- Customized software integrations like MS Excel and MySQL to reduce manual data entry, resulting in a 100% increase in accuracy and productivity.
- Segmented over 10,000 client records in accounts units, to conduct error rate analysis to identify anomalies, enhancing retention rates by 10%.
Skills: MySQL, ZohoBooks, MS Excel, Mathematics, Data Analytics
Education
Masters in Artificial Intelligence
Yeshiva University
Manhattan, New York
- Ensured proper implementation of various Image processing projects like Cow stall number, Lung Cancer Segmentation, Brain Tumor Detection using PyTorch, Python, Transfer Learning, CNN with publications of project papers on Research Gate.
- Oversaw comprehensive understanding, operations in Data Visualization and Acquisition by developing various dashboards, plotting graphs and predictive modelling on financial historical datasets of trending stocks.
Executive Post Graduate Diploma in Data Science
International Institute of Information Technology (IIIT)
Bangalore, India
- Developed various projects in supervised as well as unsupervised learning using various Machine Learning algorithms like Linear Regression, Logistic Regression, K-Means Clustering, Decision Trees, Neural Networks etc.