Tallahassee, Florida, United States
I'm a data professional with ~3 years of experience in analytics, automation, and business intelligence, currently pursuing my Master’s in Data Science at Florida State University. At Tata Consultancy Services, I worked on large-scale data systems, developing SQL pipelines, integrating REST APIs, and building automated reporting dashboards in Power BI and Excel to drive operational efficiency and decision-making across teams. My experience spans designing KPI-driven dashboards, optimizing backend processes with Python (Pandas, NumPy), and leading A/B testing efforts that improved user engagement by 30%. I’ve delivered analytics solutions that improved reporting speed by 15% and reduced manual effort by 40%. Now, I’m expanding my skills into machine learning and AI systems — having built projects like a Retrieval-Augmented Generation (RAG) chatbot using LangChain, FAISS, and graph-based reasoning, as well as CNN-based models for image steganalysis in TensorFlow. I’m passionate about turning complex data into intelligent systems and business value. I'm actively seeking internships and full-time opportunities in data analyst, data science, analytics, or applied AI, where I can apply my academic learning, industry experience, and technical expertise to solve real-world problems and drive innovation
•Analyzed compressor log files to identify performance issues, failure trends, and anomaly patterns, providing investigators with actionable insights that accelerated root cause analysis •Designed and developed a Python-based GUI application that automated extraction, summarization, and visualization of key insights from log files reducing manual analysis time by 1 hour per case •Generated automated reports and diagnostic graphs for investigators, improving consistency and speed of technical reviews •Built Power BI dashboards to monitor compressor counts and performance insights by region and category, enabling data-driven operational tracking •Deployed analytics and automation solutions in Microsoft Azure, ensuring scalable and secure access across teams
•Developed Python-based automated schedulers and ETL pipelines to securely fetch, clean, and standardize activation data from multiple third-party vendors, automating daily data loads and reducing manual reconciliation effort by 35% •Optimized and maintained large-scale Oracle databases containing customer profiles, activation records, and transaction history, tuning complex SQL queries to improve data consistency and increase reporting reliability by 25% for activation and KPI reports •Designed and analyzed A/B tests for activation offers and feature rollouts on web and mobile platforms, evaluated conversion, drop off, and activation metrics, and delivered insights that guided product and marketing decisions, leading to improved conversion rates •Developed Power BI dashboards using DAX measures to deliver city- and state-level insights on customer activations, churn, and usage trends, enabling operational and leadership teams to identify growth opportunities •Used Git-based version control to manage Python, SQL, and Power BI artifacts across development and test environments. Implemented RESTful API integrations to ingest SIM activation requests from web and mobile applications, reducing manual data entry by 25%