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Srikruthi Kulkarni

Srikruthi Kulkarni

Data Analyst

Bengaluru, India
85
Profile Score

About

Detail-oriented Data Analyst fresher with strong foundation in Python, SQL, Pandas, NumPy, and Power BI. Experienced in end-to-end data projects involving data cleaning, exploratory data analysis, SQL querying, and dashboard development. Demonstrated ability to extract actionable insights from structured datasets and communicate findings visually. Seeking an entry-level Data Analyst role to contribute analytical skills and grow within a data-driven organization.

Skills & Expertise (23)

SQL Expert
8.7/10
4
Years Exp
Data Cleaning Advanced
8.5/10
3
Years Exp
Python Advanced
8.3/10
3
Years Exp
Power BI Advanced
8.1/10
2
Years Exp
Team Collaboration Problem Solving Analytical Thinking Business Intelligence Data Storytelling Dashboard Development SQL Query Optimization Exploratory data analysis Git Jupyter Notebook MySql Classification Linear Regression Tableau Seaborn Matplotlib Microsoft Excel NumPy Pandas

Work Experience

Data Analyst

City Traffic Analysis Dashboard

Jan 2024 - Apr 2024

Designed and built an end-to-end traffic analysis pipeline covering data ingestion, cleaning, SQL querying, and visualization. Performed feature engineering on raw traffic data to create structured datasets suitable for analysis. Executed SQL queries to identify top congestion hotspots and quantify the impact of weather conditions on traffic flow. Developed an interactive Power BI dashboard with KPI cards, trend lines, and heat maps to enable data-driven traffic management decisions. Reduced manual reporting effort by consolidating multiple data sources into a single automated dashboard.

Data Analyst

Zepto Retail Product Data Analysis

Aug 2023 - Nov 2023

Designed a SQL-based product analytics project using MySQL to explore pricing, inventory levels, and category-level business trends. Cleaned raw data by removing zero-priced and null records, and standardized currency from paise to rupees for accurate financial analysis. Applied advanced SQL techniques including GROUP BY, CASE WHEN, HAVING, and window functions (RANK, ROW_NUMBER) to identify duplicate products and high-discount items. Calculated category-wise estimated revenue, average discount percentages, and price-per-gram metrics, providing actionable insights for pricing strategy. Identified top 5 revenue-generating categories and flagged 3 product groups with abnormally high discount rates for review.

Education

Bachelor of Engineering – Information Science and Engineering - DBIT Institute of Technology, Visvesvaraya Technological University

2022 - 2026 · Afghanistan

Certifications

Data Analyst Job Simulation

Deloitte (Forage) · 2024

IBM Project Management Fundamentals

IBM · 2023

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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 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceApr 2026