VARSHA MAMIDIPALLI
DataData with 2+ years in Data Engineering & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data with 2+ years in Data Engineering & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong data engineering and cloud exposure, experienced in turning large, complex datasets into clear business insights and automated data solutions. Skilled in SQL, Python, PySpark, Power BI, Tableau, and advanced Excel, with hands on experience in ETL/ELT pipelines on AWS & Azure, dashboard development, and performance optimization. Proven ability to reduce manual effort, optimize pipelines, and support decision making for stakeholders across business and technology teams.
G. Narayanamma Institute of Technology and Science
Bachelor of Technology (B. Tech) · Electronics & Telematics Engineering
August 1, 2020 – June 30, 2024
LTIMindtree
Data Analyst
June 1, 2024 – Present
Hyderābād, Telangana, India
BSNL Telecom
Intern
April 1, 2024 – May 1, 2024
India
Sales Performance Analytics
June 1, 2026 – Present
Designed and developed Tableau dashboards tracking revenue, conversion rates, product/category performance, and regional trends. Created automated SQL reports that reduced manual reporting work by ~50% for business users. Performed trend and cohort analysis to identify growth opportunities and underperforming segments. Supported sales and marketing teams with data‑driven insights that informed campaign and pricing decisions.
Marketing Funnel Analysis
June 1, 2026 – Present
Built end‑to‑end funnel reports from acquisition to conversion using SQL and Power BI. Evaluated campaign effectiveness (CTR, conversion, CAC, ROI) and identified bottlenecks in the customer journey. Improved visibility into lead quality, drop‑off points, and channel performance, supporting optimization of marketing spend. Created executive‑level summary reports with clear visuals and concise commentary.
Customer Churn Analysis
June 1, 2026 – Present
Analyzed 500K+ customer records to identify key drivers and patterns of churn. Built Power BI dashboards to track retention, engagement, and customer lifetime value KPIs. Increased reporting efficiency by ~40% through dashboard and report automation. Conducted in‑depth EDA with Python and Pandas, uncovering high‑risk customer segments. Presented insights and recommendations to stakeholders, enabling more targeted retention strategies.
AWS Certified Cloud Practitioner
Unknown
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
LTIMindtree Big Data & Spark Training Program
LTIMindtree
June 1, 2026 – Present
AWS Academy Graduate – Cloud Architecting
AWS Academy
June 1, 2026 – Present
Databricks Fundamentals
Databricks
June 1, 2026 – Present
SQL for Data Engineering Certification
Unknown
June 1, 2026 – Present
AWS Academy Graduate – Cloud Foundations
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (sales, marketing, customer churn) and experience across different industries (telecom, IT services) suggest adaptability. Their stated interest in growing into Data Engineer and Analytical Engineer roles aligns with a continuous learning culture. The breadth of skills, including cloud platforms and big data technologies, indicates a willingness to embrace new tools and methodologies. The candidate's current role at LTIMindtree, a large IT services company, implies experience in structured work environments and client-facing interactions, which generally contributes positively to cultural fit in diverse teams.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, identifying key drivers of churn and bottlenecks in marketing funnels. Their experience in collaborating with stakeholders to gather requirements and translate business questions into analytical solutions indicates good communication and teamwork abilities. The mention of reducing manual effort and optimizing pipelines suggests a proactive and efficiency-oriented work attitude. The candidate's certifications and stated motivation to grow into Data Engineer and Analytical Engineer roles highlight a strong learning aptitude and ambition.