Headline

Data Analytics | Business Intelligence | SQL | Excel | Data Visualization | Driving Insights & Process Improvement

About

Analytical and detail-oriented professional with experience in data analysis, business operations, and investigations. Skilled in leveraging Python, SQL, Excel, and data visualization tools to clean, analyze, and interpret complex datasets. Hands-on experience with machine learning, predictive modeling, and workflow optimization, with a track record of improving efficiency and data accuracy. Proven ability to identify patterns, detect anomalies, and deliver actionable insights that support better decision-making. Strong foundation in problem-solving, documentation, and cross-functional collaboration. Actively seeking opportunities in Data Analytics, Business Intelligence, or Data Science to apply technical expertise and drive business impact.

Location

Bengaluru

AI stack

claude code

claude

gemini

openai

ChatGPT

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Work experience

Investigations Specialist I, L3 at Amazon, Jun 2024 - Present · 2 yrs 4 mos, Bengaluru, 1. Improved Operational Efficiency: Streamlined investigation workflows and introduced automation-driven solutions, increasing resolution productivity by 60%+ while minimizing manual errors and turnaround time. 2. Cross-Skilled & Global Collaboration: Partnered with international teams to create standardized SOPs and implement process improvements, enabling faster ticket resolution and stronger cross-functional knowledge sharing. 3. Recognition & Impact Beyond Role: Achieved Wall of Fame – Bronze (May 2025) for performance excellence, secured wins in company-wide competitions, and contributed to CSR initiatives supporting community welfare.

Data Science Intern at ExcelR Solutions, Nov 2022 - Aug 2023 · 10 mos, Bengaluru, Karnataka, India, 1.Completed courses in Regression analysis, hypothesis testing, SVM, Forecasting and Modeling, text mining, and basic statistics from ExcelR - Data Science, Data Analytics Training Institute. 2. Applied data analysis and machine learning algorithms using Python. 3.Created effective visualizations to communicate insights from data analysis in a clear and scientific manner.

Intern - Data science at Ai Variant, Nov 2022 - Aug 2023 · 10 mos, Bengaluru, Karnataka, India, Stock Market Data Analysis (Tata Motors) 1. Developed a predictive model for stock price forecasting for Tata Motors using time series analysis and machine learning algorithms such as SVR, KNN, RF, LSTM, and GRU. 2. Gathered and processed daily stock price data from 2018 to 2023, including Open, High, Low, and Close prices, from various sources on the web. 3. Evaluated model performance using accuracy, variance, and R-squared score and selected LSTM as the final model for forecasting the stock prices for the next 30 days. 4. Deployed the LSTM model using Python libraries such as Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, and Streamlit. NLP Emails 1. Inappropriate emails harm organizational environments, leading to demotivation, attrition, and decreased productivity. 2. A dataset of 2 million emails was preprocessed using techniques like stopwords removal, TF-IDF, count vectorization, and N-grams. 3. The SVM classifier (SVM_SVC) outperformed other algorithms, achieving high accuracy on both training and testing datasets. It was deployed using Streamlit for user-friendly spam classification, promoting a positive and inclusive email environment.

Intern - Data Associate at Pramata India, May 2022 - Sep 2022 · 5 mos, Bengaluru, Karnataka, India, 1. Identified & Resolved Data Discrepancies: Located and corrected errors in daily reports and spreadsheets, ensuring 100% data accuracy and providing timely updates to management for informed decision-making. 2. Maintained Data Integrity: Verified information prior to transcription, reducing the risk of inaccuracies and improving the quality of business-critical datasets. 3. Streamlined Data Processing: Sorted and processed incoming reports efficiently, enabling faster data entry into processing systems and supporting smooth operational workflows. 4. Led Workflow & Accuracy Management: Oversaw workflow scheduling, data entry, and accuracy checks for large-scale data projects, ensuring deadlines were met with high precision and compliance.

Sales Manager at Dilkash Bags shop, Sep 2021 - Apr 2022 · 8 mos, Bengaluru, Karnataka, India, 1. Drove Sales Operations: Managed end-to-end sales processes and consistently achieved targets, contributing to business growth and revenue performance. 2. Enhanced Customer Experience: Resolved client issues promptly, maintaining high customer satisfaction and long-term relationships. 3. Delivered Data-Driven Insights: Prepared and submitted timely, accurate reports to management, enabling informed decision-making and performance tracking.

Education

B.tech, Electrical, Electronics and Communications Engineering, MES ENGINEERING COLLEGE, KUTTIPPURAM

Higher secondary, Biology Science, Govt HSS, Tirurangadi