I am Neerja Deogaonkar

Data Analyst,Decision Scientist,Data Scientist

Name: Neerja Deogaonkar

Profile: Data Analyst

Email: neerjadeogaonkar@gmail.com

Phone: (214) 862-2763

Skill

SQL 85%
R 75%
Python 75%
Tableau 70%
Machine Learning 70%
About me

I graduated 👩🏻‍🎓 from The University of Texas at Dallas with a Master’s Of Science in Business Analytics degree in May 2020. I have experience in banking financial services and CPG domain, working with senior leadership, helping them visualize insights with the aid of Tableau, SAP Business Objects, and assist them to drive consumption of insights across their company, acting as a data translator 📊

My personal and professional experiences have taught me the following about myself:

- I put the customer at the center of all that I do

- My gut instinct is good but I seek data for my decisions

- I stay calm when faced with adversity

Wondering how I would be an asset to your team/company? Well, I can clearly communicate the results of complex analyses for different audiences and various stakeholders📈 I have the insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way👩🏻‍💻 I also have the ability to juggle multiple projects at once.

I am looking for full-time opportunities starting in October 2020. If any of the above sounds interesting and you think it would be a potential fit to work together, let’s meet for a virtual coffee!

Projects

My Data Story

Predictive Modelling|SAS

Peanut Butter Brand Marketing

Analyzing factors that influence the sales of a brand across 700 stores.Provide insights that help determine the standing that a brand establishes in the market against various other peanut butter brands.

Machine Learning - R

Pop Music Trends

The dataset contains Billboard Year-End Hot 100 songs between 1965 and 2015,contains 5100 observations.Shiny App shows popular song topics and lyrics in the last 50 years

PySpark

Bank Marketing Analytics

Analyzing the marketing campaign data of around 12000 customers having 17 features of a Portuguese bank to predict which customers would subscribe to a term deposit.

Experience

Senior Data Analyst - Consumer Insights

2020 - Present

Collaborate with Marketing and Sales teams of 10 people and implement marketing/media mix models to identify key drivers for growth for Mucinex using Nielsen data .Perform analyses on pricing strategy for Durex & provide short and long-term customer insights needs to influence sales/marketing strategies and business development opportunities across retailers like Target, CVS &Walmart.Forecast consumption & analyze changes to key business drivers for a Fortune 500 Company. Shape those findings into a meaningful business story to drive decision making in the wake of COVID-19 disruptions in CPG.

Data Analyst

2017 - 2018

Develop compelling dashboards and automated reporting related to key performance metrics for a leading Australian Bank using Xtraction toolset and complex SQL queries, triggering a 30% increase in accuracy.Extracted, interpreted and analyzed consumer behavior data to identify key metrics and transform raw data into meaningful, actionable insights using Tableau resulting in 300K in annual incremental revenue.

Junior Data Analyst

2017 - 2018

Analyzed large datasets of detailed customer profiles along with transactions to improve acquisition and retention resulting in a 25% increase in customer engagement.Evaluated KPIs to extract actionable insights and implement data-driven recommendations to evaluate the success of business initiatives through performance reports created via SAP BO which boosted sales by 15% in the last quarter.Presented and collaborated with cross-functional teams to help them understand the performance of their strategic initiatives and identify action points.