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Data Analyst with 2+ years in Data Analysis & Business Intelligence
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Tejas Nandankar is a proficient Data Analyst with 2.6 years of experience across various industries, specializing in extracting, analyzing, and visualizing data to drive strategic decisions. Equipped with strong skills in SQL, Excel, Power BI, and Python, Tejas excels at generating actionable insights and automating reporting processes. His work history demonstrates a consistent ability to deliver high-accuracy reports, improve team coordination, and contribute to significant project achievements in data research and business intelligence.
RTMNU
PG Diploma · DATA SCIENCE
August 1, 2023 – June 30, 2023
RTMNU
Bachelor Of Science · PCM
August 1, 2022 – June 30, 2022
Ascent Business Solutions
Executive - MIS/BI
December 1, 2025 – Present
Nagpur, Maharashtra, India
Com1 Communication Technologies Pvt. Ltd
Data Research Executive
February 1, 2024 – November 30, 2025
Nagpur, Maharashtra, India
Acube AI (Startup)
Data Analyst Intern
October 1, 2023 – November 30, 2023
Nagpur, Maharashtra, India
Sales Executives Performance Dashboard
June 27, 2026 – Present
Designed a Sales Performance Intelligence Dashboard in Advanced Excel showcasing ₹11.1 Cr purchase, 15.45 Cr sales, and 20.84 Cr profit with dynamic KPIs and filters for 50+ executives. Converted raw sales data into strategic insights using MoM trends, category profit distribution (15–21%), top-performer metrics, and state-wise profitability and Delivered recommendations by identifying revenue-driving products, top 5 executives, and high-growth regions to support smarter target and budget planning.
Customer Segmentation Using K-Means Clustering for Income-Spend Analysis
June 27, 2026 – Present
Performed K-Means Clustering to segment customers into 4 optimized clusters based on income and spending behaviour, using the WCSS-elbow method to determine the optimal K value. Visualized clusters and centroids to identify customer groups, enabling actionable insights for targeted marketing strategies.
Cultural Fit Analysis
The candidate's project diversity, including sales performance dashboards and customer segmentation, aligns well with typical data analyst responsibilities. Their experience across different companies (startup to established) and roles (intern to executive) suggests adaptability. The breadth of skills listed, from data analysis tools to programming languages and even some marketing strategies, indicates a versatile individual who could integrate well into various team structures. The focus on data-driven recommendations and process improvement aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and communication skills through their project descriptions and work achievements. Their experience in collaborating with cross-functional teams and presenting insights to management indicates good operational fit for roles requiring stakeholder interaction. The automation of tasks suggests a proactive approach to efficiency.