Shreya Narkar

Associate Consultant

Pune, Maharashtra, India7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led 30+ Power BI reporting solutions.
Reduced reporting turnaround times by 90%.
Developed Python-based analytics tools for operational efficiency.

Stackforce AI infers this person is a data-driven analytics consultant specializing in healthcare technology solutions.

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Skills

Core Skills

Power BiSqlData VisualizationData AnalysisWorkflow AutomationPython

Other Skills

Python (Programming Language)Dashboard DevelopmentStakeholder EngagementTableauMicrosoft Power BIClient RelationsMicrosoft ExcelCC++HTMLCascading Style Sheets (CSS)Database Management System (DBMS)CommunicationManagement

About

With 5 years of experience in transforming raw data into strategic business insights, I specialize in designing impactful dashboards, automating data pipelines, and enabling data-driven decisions. Currently at ZS Associates, I’ve led 30+ Power BI reporting solutions, optimized processes reducing turnaround times by 90%, and developed Python-based analytics tools that directly influenced operational efficiency and stakeholder decisions. I thrive in collaborative, cross-functional teams and have been recognized with multiple awards for delivering high-impact analytics solutions. My work consistently aligns tech capabilities with business goals — whether through automation, self-serve tools, or stakeholder-focused reporting frameworks. Key Skills: Power BI, SQL, Python, R, Data Visualization, Dashboard Development, Workflow Automation, Stakeholder Engagement, Project Management Let’s connect if you’re hiring or collaborating on data-driven transformation!

Experience

7 yrs 9 mos

Total Experience

3 yrs 10 mos

Average Tenure

5 yrs 9 mos

Current Experience

Zs

3 roles

Business Technology Consultant

Jun 2025 – Present · 11 mos

Business Technology Solution Associate Consultant

Promoted

Jan 2023 – Jun 2025 · 2 yrs 5 mos

Recognized for excelling in managing projects from initiation to completion and demonstrating strong mentoring and leadership abilities.
1. Designed and led the development 30+ interactive Power BI dashboards across commercial and marketing functions, enhancing visibility into brand, campaign, and field force performance.
2. Built executive-level dashboards for Marketing Funnel, Brand Performance, Field Force Activity, and Patient Share, enabling real-time tracking of key business drivers.
3. Enabled faster, data-driven decisions by reducing reporting time from 9 hours to 10 minutes via automation and semantic model optimization.
4. Collaborated with stakeholders to aligned with business strategy and then translate the business ideas into technical solutions.

SQLPython (Programming Language)Power BI

Business Technology Analyst

Aug 2020 – Jan 2023 · 2 yrs 5 mos

Collaborated with cross-functional teams to understand business needs and develop technology solutions to improve operations and drive innovation. Automated various manual processes and converted Business logic and Rules to self-serve tools.
1. Performance Driver Automation:
Developed a Python based solution to assist pharma clients in making key decisions by analyzing the raw data and providing meaningful insights.
The tool featured a user-friendly interface (Jupyter notebook) for importing and cleaning data, as well as a variety of functions for exploring and analyzing the data, creating visualizations, and running machine learning algorithms
This tool helped the organization to understand the data and make data-driven decisions.
Tech Stack : Python, Ipywidgets
2. Targeting analytics and commercial operations :
Developed a python based fully automated and self serve tool which will determine the optimum number of calls with the HCPs (Health Care Professionals) and HCOs (Health Care Professionals) to recommend the products in order to increase the sales.
The time required to carry out the Call Planning process was reduced by 80%
Tech Stack : Python, Ipywidgets, SQL
3. Conference Optimization Project :
Developed a NLP based Conference Data optimization solution to prioritize relevant abstracts and create an inventory of conference data
The main aim was to standardize, structure and consolidate conference data and generate key primary attributes
The tool was able to identify 80-90% of the relevant abstracts within top 40% prioritized titles
Tech Stack : Python, Tableau