📧 Email: pendotasukumar2895@gmail.com
📞 Phone: 9700251511
🔗 LinkedIn: sukumar-pendota-data-analyst
💻 GitHub: Pendota-sukumar
📊 Kaggle: Sukumar's EDA Projects

🎯 Objective

I’m a detail-oriented Data Analyst with 1 year of core experience in data analytics and 3 years of overall professional exposure. I specialize in SQL, Power BI, Tableau, Excel, Python, and ETL pipelines with additional experience in machine learning, PySpark, and workflow automation tools like Apache NiFi and KNIME. My passion lies in transforming raw data into strategic insights and actionable decisions.

🧠 Skills

Data Analysis & Visualization

Excel, Google Sheets, Power BI, Tableau
Python (Pandas, NumPy, Matplotlib, Seaborn)
KPI tracking, Predictive & Statistical analysis

SQL & Database Management

MySQL, Data Extraction & Query Optimization

ETL & Workflow Automation

Informatica PowerCenter, KNIME, Apache NiFi
PySpark, Alteryx – Automated Pipelines & Processing

Machine Learning

Supervised & Unsupervised Learning, Regression, Classification
Prompt Engineering, LLMs, COT Reasoning
Time Series Forecasting

BI Tools

Power BI, Tableau (Dashboards, KPI Monitoring, DAX, Power Query)

💼 Work Experience

📍 Data Analyst | Resolute Group of Companies (Mar 2024 – Present)

Built dashboards for KPI tracking (production yield, efficiency)
Conducted root cause & cost analysis for operations
Created interactive reports using Power BI, Tableau
Automated reporting pipelines and improved decision-making

📍 ML Data Annotator | Wipro Technologies (Aug 2023 – Mar 2024)

Worked on Meta’s Gen AI “Magic Mode”
Annotated and trained models for age, gender, expression, and race
Maintained ethical and culturally sensitive data handling

📍 Data Annotator | Cognizant (Aug 2021 – Mar 2022)

Website compliance audits and content moderation
Participated in multiple Google verticals like Sitelinks, ASL
Received recognition for quality, accuracy, and teamwork

💡 Projects

🔍 Insurance Claim Fraud Detection

Found 24.7% claims were fraudulent
Used Python, Pandas, Seaborn

🏨 Hotel Booking Analysis

Analyzed 119,000 bookings for trends and cancellations

💸 UPI Transaction Trend Analysis

Tracked growth from 21 banks in 2016 to 146 in 2020

⚙️ Automated Data Pipeline Using PySpark

Real-time ETL with PySpark
Parallel processing for improved performance

🔄 Apache NiFi Data Flow Automation

Automated data ingestion and transformation workflows

🏠 House Price Prediction ML App

Regression model using Linear Regression
Interactive user input for real-time predictions

📜 Certifications

Data Analytics – Jobaaj Learnings
Python (Basic) – HackerRank
SQL (Basic & Intermediate) – HackerRank
AI & ML – Indian Council for Technical Research and Development
Virtual Internships – Accenture, KPMG, Tata (Forage)

🎓 Education

MBA in Marketing
Satavahana University (2018 – 2020)

Bachelor’s in Statistics, Computer Science & Mathematics
Satavahana University (2014 – 2017)

👨‍💻 Sukumar Pendota – Data Analyst Portfolio