T. Thiruvethitha Tamilamuthan

Data Analyst

Chennai, Tamil Nadu 0+ yrs exp 85 · Excellent

About

Data Science graduate with a CGPA of 9.14/10 and practical internship experience in data analytics and business intelligence. Skilled in SQL, Python, Power BI, Excel, Pandas, and NumPy, with experience developing interactive dashboards, tracking KPIs, cleaning and analyzing datasets, and generating data-driven reports. Adept at translating complex datasets into clear insights for stakeholders. Seeking a Data Analyst or Power BI role to apply technical and analytical skills in a business environment. Available immediately join from October 2026.

Skills & Expertise (34)

Pandas Intermediate

6.1/10

0.25

Years Exp

Analytical Thinking Intermediate

6.1/10

0.25

Years Exp

Communication Intermediate

6.1/10

0.25

Years Exp

Python Intermediate

6.1/10

0.25

Years Exp

Excel Intermediate

6.1/10

0.25

Years Exp

Power BI Intermediate

6.1/10

0.25

Years Exp

Matplotlib Intermediate

6.1/10

0.25

Years Exp

SQL Intermediate

5.1/10

0.25

Years Exp

NumPy Intermediate

5.1/10

0.25

Years Exp

Git Intermediate

5.1/10

0.25

Years Exp

Adaptability Team Collaboration Time management Problem Solving NLP Google Gemini llm apis FAISS LangChain RAG Pipelines GitHub Streamlit Flask MySql OpenCV Computer Vision Predictive Modeling TensorFlow scikit-learn CSS HTML Reporting KPI Dashboards EDA

Work Experience

Data Analyst Intern

Innobyte Services

Aug 2026 - Sep 2026

Cleaned and transformed a 128,976-row Amazon marketplace sales dataset (Python, Pandas): standardized inconsistent state names, removed 168 duplicate records, and traced all missing revenue values to cancelled orders rather than data errors, producing an analysis-ready 128,017-row dataset. Analyzed order status, fulfilment method, and geographic patterns across 9 product categories and 15+ states, identifying a 17.4% cancellation rate on Merchant-fulfilled orders versus 12.6% on Amazon-fulfilled orders and quantifying ₹1.17 crore in estimated revenue lost to cancellations. Built 8 visualizations (revenue trends, category and size breakdowns, fulfilment comparison, state/city revenue, cancellation heatmap) and delivered written findings identifying Karnataka as the top-performing state on both revenue and reliability.

Data Analytics Intern

VDart

Jun 2025 - Jun 2025

Completed a 4-week structured on-the-job training covering the end-to-end analytics workflow: Excel data cleaning, Power BI dashboarding, and Python (Pandas/Matplotlib) fundamentals. Built two interactive Power BI dashboards on an AI/ML job-market dataset (salary, industry, required skills, benefits score, company size, remote ratio) using DAX calculated fields, including a job-title salary-ranking view with a dynamic Top/Bottom slicer. Built a separate Excel dashboard on a job-listings dataset with PivotTables, PivotCharts, and slicers (job title, company, location, employment type) to surface hiring trends and role distribution.

Data Science Intern

Cognifyz Technologies

May 2024 - Jun 2024

Cleaned and analyzed a 9,500-row Zomato restaurant dataset (Python, Pandas) spanning 141 cities and 1,825 cuisine combinations, handling missing values and type coercion across 25 engineered and raw columns. Ran EDA and hypothesis testing (SciPy t-tests) on rating distribution, cuisine popularity, and price range; found average rating rises from 2.0 to 3.8 across the four price tiers, and built 6+ Matplotlib/Seaborn visualizations to support the findings. Built and compared Linear Regression, Decision Tree, and Random Forest models to predict restaurant rating; identified and began debugging a data-leakage issue causing unrealistically high R² scores.