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Lohith Elaka

Lohith Elaka

Data Analyst

Hyderabad, India
80
Profile Score

About

Detail-oriented and results-driven Data Analyst with hands-on experience in Python, SQL, Power BI, and Machine Learning. Successfully executed end-to-end data projects including Banking Term Deposit Prediction, Colorectal Cancer Risk & Survival Analysis, Diabetes Risk Prediction, and Fuel Consumption Forecasting, delivering actionable insights with measurable impact. Experienced in: Data cleaning, EDA, and statistical analysis Building predictive models (Linear Regression, Classification models) Creating interactive dashboards in Power BI A/B testing and performance evaluation Working with workflow automation and data validation processes Currently gaining practical exposure through a remote paid internship, applying analytical skills to solve real-world business problems. Strong understanding of business impact, data storytelling, and decision-support analytics. Known for structured thinking, strong communication skills, and the ability to translate complex datasets into clear, business-focused insights.

Skills & Expertise (25)

Python Advanced
8.9/10
3
Years Exp
Pandas Advanced
8.5/10
3
Years Exp
Power BI Advanced
8.4/10
3
Years Exp
stakeholder communication Data Storytelling Data Interpretation Data-driven decision making Jupyter Notebook Git XLOOKUP Pivot Tables Excel Feature Engineering Classification Regression Data Wrangling Hypothesis Testing Statistical Analysis EDA Tableau Power Query DAX Postgresql SQL NumPy

Work Experience

Data Analyst Intern

Edgenius Skillfied Mentor pvt. Ltd

Feb 2026 - Present

Banking Data Analysis: Built an end-to-end term deposit prediction model using Python (Pandas, Scikit-learn) and Power BI on 40K+ records, achieving ~90% accuracy and delivering actionable insights that improved campaign targeting efficiency by 20%. Term Client Deposit Analysis: Built a data-driven banking analytics solution using Python and Power BI on 41K+ customer records, increasing campaign performance visibility by analyzing 4,640 subscribers and uncovering high-impact factors driving an 11.27% conversion rate. Colorectal Cancer Survival Analysis: Analyzed 1,000+ colorectal cancer patient records and constructed a survival prediction model achieving 85% accuracy and 0.87 ROC-AUC, identifying key mortality risk factors to support data-driven clinical decisions. Diabetes Risk Prediction: Architected a machine learning–based diabetes risk prediction system on 750+ clinical records, delivering 89% accuracy and enhancing early high-risk detection by 25%.

Education

B. Tech in Computer Science and Engineering - JNTUH College of Engineering Sultanpur, Hyderabad

2021 - 2025 · India

Higher Secondary (Class XII) - Sri Chaitanya Junior College, TSBIE

2018 - 2020 · India

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceSep 2025

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation

Skills (25)

Python Pandas Power BI stakeholder communication Data Storytelling Data Interpretation Data-driven decision making Jupyter Notebook Git XLOOKUP +15 more