Dhanshree Dhakite

Data Analyst

Pune, IN.

About

Highly analytical Data Analyst with 2+ years of expertise in Python, SQL, and leading BI tools, adept at transforming complex datasets into actionable business intelligence. Proven ability to design scalable database architectures, optimize query performance by 20%, and deliver data-driven insights that inform strategic decision-making and enhance market sustainability. Eager to leverage advanced data manipulation, visualization, and problem-solving skills to drive impactful outcomes and foster collaborative innovation within a dynamic team environment.

Work

ZS Associates

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Decision Analytics Associate

Pune, Maharashtra, India

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Summary

As a Decision Analytics Associate at ZS Associates, I leveraged foundational knowledge of client product landscapes and analytical methodologies to forecast product demand and revenue potential.

Highlights

Developed a patient funnel that segmented a target audience of over 105,000 patients across 8 top-tier countries, incorporating multiple filters for precise market analysis.

Analyzed complex data from diverse sources including clinical trials, NCCN, FDA, and ASCO, to accurately forecast product demand and revenue potential within specified timelines.

Delivered actionable insights on forecasted demand, identifying market bottlenecks and key players, and proposing solutions for optimizing drug launch timelines and sales executive incentive plans.

Konverge AI

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Associate Engineer

Nagpur, Maharashtra, India

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Summary

As an Associate Engineer at Konverge AI, I designed and optimized database architectures, enhancing data access, consistency, and system performance for client applications.

Highlights

Designed and implemented a centralized database architecture, integrating multiple applications through data mapping and transformation, reducing query complexity by 20%.

Developed an optimized and scalable PostgreSQL database schema from scratch for an internal project, ensuring normalization, referential integrity, and improved data consistency.

Enhanced query execution speed by 10% and reduced server load for a client application by implementing indexing strategies and query tuning, improving overall system responsiveness.

Volunteer

Event Organizer and Planner

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AXIS (Technical Fest, VNIT)

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Organized and planned a major technical festival at Visvesvaraya National Institute of Technology, coordinating all logistical and operational aspects.

Highlights

Coordinated and managed resources for a large-scale technical festival, ensuring smooth execution of multiple events.

Collaborated with various stakeholders to plan and deliver engaging activities for college students.

Education

Visvesvaraya National Institute of Technology

Nagpur, Maharashtra, India
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Bachelor of Technology Mining Engineering Grade: 7.79 CGPA

Awards

First Runner Up, ZS Women in Analytics Contest

Techgig / ZS

Recognized as First Runner Up among 2779 total participants in the ZS Women in Analytics Contest hosted by Techgig, demonstrating exceptional analytical prowess.

Languages

English

Skills

Data Analysis

Data Analysis, Data Visualization, Data Manipulation, Data Cleaning, Problem Solving, Statistics, Reporting, KPI Identification, Business Analysis, Requirement Gathering, Critical Thinking.

Programming Languages

Python, SQL, VBA.

Data Visualization Tools

Excel, Power BI, Tableau, Jupyter Notebook, Matplotlib, Seaborn, Plotly.

Databases

MySQL, MongoDB, PostgreSQL.

Soft Skills

Presentation, Storytelling, Time Management, Communication, Teamwork, Task Structuring, Documentation.

AI Tools

Gen AI tools.

Projects

Amazon Product Feedback Analysis

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Summary

Developed a project analyzing Amazon product feedback to extract insights using Python and sentiment analysis techniques.

Health Data Analysis

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Summary

Conducted a healthcare data analysis project focusing on fund allocation, KPI analysis, and demographic insights using Excel.

Loan Service Analysis

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Summary

Executed a loan service analysis project using PowerBI to assess financial risk and visualize key metrics.