Lalith Kumar
@lalithkumar1
Junior Data Analyst skilled in SQL, Python (pandas), Power BI, and data-driven insights.
What I'm looking for
I am a recent B.Tech graduate in Electronics and Communication with hands-on experience in data cleaning, exploratory analysis, and interactive dashboard development using SQL, Python (pandas), Excel, and Power BI. I have built end-to-end analytics projects—sales performance dashboards, customer churn analysis, and e-commerce data exploration—that translated raw data into actionable business insights.
I am comfortable writing complex SQL queries, working with relational databases (MySQL, PostgreSQL), and communicating findings through clear visualizations and DAX-driven KPIs. I focus on delivering measurable value by highlighting revenue trends, churn drivers, and product/region performance to support data-informed decisions.
Experience
Work history, roles, and key accomplishments
Junior Data Analyst
Self Employed
Built end-to-end analytics projects (sales performance, customer churn, e-commerce) producing interactive Power BI dashboards and data-driven insights to inform business decisions.
Education
Degrees, certifications, and relevant coursework
Jayamukhi Institute of Technological Sciences
Bachelor of Technology, Electronics and Communication Engineering
Grade: 8.0 CGPA
Activities and societies: Projects: Sales Performance Dashboard (Power BI), Customer Churn Analysis (Python & SQL), E-Commerce Data Exploration (Python)
Completed a B.Tech in Electronics and Communication Engineering with a CGPA of 8.0, gaining coursework and project experience relevant to data analysis and engineering.
Government Polytechnic, Warangal
Diploma, Electronics and Communication
Grade: 9.5 CGPA
Completed a Diploma in Electronics and Communication with a CGPA of 9.5, covering foundational electronics and communication subjects.
Daffodils High School
Secondary School Certificate (SSC), Secondary Education
Grade: 9.5 CGPA
Completed secondary school certification (SSC) with a CGPA of 9.5.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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