Analyst at Tata Consultancy Services (TCS) working in the BFSI domain , with a strong foundation in Business Analytics and Data Science backed by an MBA and an engineering background in Electrical Engineering. Experienced in analyzing structured business data, preparing insightful reports, and supporting data-driven decision-making for financial services use cases.
Skilled in SQL, Excel, Power BI, and Python for data analysis, visualization, and automation. Hands-on experience includes datastage, dashboard creation, exploratory data analysis, predictive modeling, and process optimization through academic projects, internships, and enterprise exposure. Passionate about transforming complex datasets into meaningful insights for business stakeholders while continuously learning enterprise-grade analytics and BFSI processes.
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I’m a data-driven problem solver with expertise in Business Analytics, Data Science, and driving business growth through insight and automation.. Click below to download my resume and explore more about my work and experience.
MBA graduate specializing in data analysis, machine learning, and business intelligence tools such as Power BI and Excel.
Graduated with First Class. Focused on core engineering concepts, problem-solving skills, electrical systems, and circuit analysis.
Achieved First Class with Distinction. Built strong fundamentals in circuit design, electronics, and electrical systems.
Hands-on experience in data analytics, machine learning, data mining, and dashboard creation. Skilled in Python, SQL, Excel, and business intelligence tools with a strong analytical mindset and attention to detail.
Below are some of my Data Analytics and Machine Learning projects.
ML model that predicts delivery times using Flask, Python & Scikit-learn.
Interactive Power BI dashboard with DAX insights for Airbnb listings in NYC.
Logistic regression-based web app to predict tumor malignancy from medical data.
Performed EDA with Python and Excel to analyze seasonal sales and customer trends.
Dynamic EMI Calculator built using formulas and conditional formatting in Excel.
Python ML model that predicts used car prices based on key features.
Exploratory data analysis on global CO2 emissions using Python & Jupyter.
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