Varun PraveshVP
Open to opportunities

Varun Pravesh

@varunpravesh

Proficient data analyst skilled in SQL, Python, and Power BI.

India

What I'm looking for

I seek a role that fosters growth, innovation, and collaboration in data analytics.

I am a data analyst with a strong foundation in SQL, Python, and Power BI, dedicated to transforming complex datasets into actionable insights. My experience includes internships at Tata and BCG X, where I developed interactive visuals and conducted in-depth analyses that significantly improved reporting efficiency and client decision-making.

At Tata, I created dashboards that enhanced data comprehension for senior leaders by 35%, while at BCG X, I engineered a Random Forest model that achieved an 85% accuracy in predicting customer churn. My projects, including a comprehensive market research study and a detailed analysis of US liquor sales, showcase my ability to leverage advanced analytical tools and cloud technologies to drive business outcomes.

Experience

Work history, roles, and key accomplishments

TA

Data Analyst Program Intern

Tata

Created interactive visuals in Power BI and Python that clarified key business trends, reducing reporting time by 40%. Synthesized complex datasets into client-ready dashboards, improving data comprehension for senior leaders by 35%.

BX

Data Science Program Intern

BCG X

Conducted a customer churn analysis for a simulated client project, identifying key churn factors and outlining a strategic data investigation plan that increased early churn risk identification by 30%. Analyzed and processed 500,000+ records using Python (Pandas, NumPy), uncovering key trends that informed client retention strategies. Engineered and optimized a Random Forest model, achieving 85%

Education

Degrees, certifications, and relevant coursework

Anna University, Guindy logoAG

Anna University, Guindy

Bachelor of Technology, Information Technology

2020 - 2024

Grade: CGPA 7.55

Pursued a Bachelor's degree focusing on Information Technology. Studied core concepts and applications within the field.

Tech stack

Software and tools used professionally

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