Tejas Pancholi
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technology Leader | Architect | SaaS | AI-ML | Cloud | Advisor | Investor
18+ years of experience in innovating and industrialising new offerings and solutions in the data science and analytics space. I have worked on 10+ SaaS AI solutions ranging from Data Engineering to ML Models to ML Ops to Dashboard and Reporting in the domain of healthcare, Retail, Advertising/Marketing/Sales, E Commerce, supply chain, Banking and Telecommunication. This solutions have helped end user make go-no go decisions, create optimized loyalty plans, healthcare plans and service offering packages, run simulations on different scenarios to optimize market spend, identify target customer segments and create complex user specific ad, product offering, and shopping experience. I've led 10+ senior cross geo located teams of engineers and researchers. I'm recognised for a value-based customer focused leadership style, collaborative approach and ability to convert complex technical requirements into tangible action plans. Currently in my role, I bring cross functional and cross culture teams to work on highly challenging cutting edge solution to be delivered on time every day. Another aspect of my work is to bring empathy, people management, leadership and coaching highly intelligent people to help them deliver their best.
National University of Singapore
Internation Immersion, International/Global Studies
January 1, 2019 – January 1, 2019
Indian School of Business
PGPPro, Strategy and Leadership
January 1, 2018 – January 1, 2019
Indian School of Business
Executive certification programme in Business Analytics, Business Analytics
January 1, 2014 – January 1, 2015
SVIT, Vasad Official
Bachelor's degree, Electrical, Electronics and Communications Engineering
January 1, 2003 – January 1, 2007
Deepshield AI
Chief AI Solution Architect - Cofounder
July 1, 2024 – Present
Hyderabad, Telangana, India · Remote
Actual Pixel
Director of Engineering
March 1, 2024 – Present
Hyderabad, Telangana, India · Remote
Fraym
Solutions Architect
March 1, 2023 – March 1, 2024
Washington DC-Baltimore Area · Remote
Uniphore
Sr. TPM Data Science - Platform
February 1, 2022 – March 1, 2023
Chennai, Tamil Nadu, India · Remote
Aera Technology
TPM - Data Science
February 1, 2020 – February 1, 2022
Pune, Maharashtra, India
Unscrambl, Inc
Lead Client Solution Architect - AI
July 1, 2019 – February 1, 2020
Pune
NetElixir
Principal Consultant
March 1, 2017 – July 1, 2019
Hyderabad Area, India
Gramener
Senior Data Consultant
June 1, 2015 – March 1, 2017
Hyderabad Area, India
UnitedHealth Group
Lead
March 1, 2010 – May 1, 2015
Hyderabad Area, India
ADP
Member Technical (R&D)
August 1, 2009 – March 1, 2010
Hyderabad Area, India
Satyam Computer services Limited
Application Developer
November 1, 2007 – August 1, 2009
Tata Teleservices
Junior Trainee Engineer
January 1, 2007 – May 1, 2007
Vadodara, Gujarat
Customer Lifetime forecasting
January 1, 2019 – Present
Created a data tool which helps the B2B customer to share data and get CLV of each customer with segment as true friends, butter flies, strangers and barnacles. we also help company in brand positioning and create customer influencers.
Customer behavior Analysis
May 1, 2018 – January 1, 2019
The project is a SaaS product, which allows the user to understand their customer behavior and allows them to find a high-value customer and predicts chances of a new customer of becoming a high-value customer in future. It also provides information about geo spread of the customer base as well as helps them in inventory management by predicting the sales.
Omnichannel digital marketing mix
March 1, 2017 – February 1, 2018
This SaaS tool allows the client to understand their ROI on various digital marketing channel like Google, Yahoo, Bing, Amazon, Facebook. It proposes an optimal mix like portfolio optimization which allows them to reduce spend and thus increase ROI.
Optimize the ad slot allocation on TV Network
September 1, 2016 – March 1, 2017
A network can sell 48 slots on any given day on each of its channels. Ad slots are again bound by rules like viewership, competitor ad campaign, price vs volume buy. This makes a very difficult situation for the sales team to pitch the slots to the client without knowing the % chance of they buying the slot. Our solution tried to provide them with an acceptable price range and clients which they should follow up to get optimum revenue.
Mystry shopping
June 1, 2015 – September 1, 2016
Understand the survey data gathered by Nielsen for its FMCG clients and create data visualization which allows the client to make a data-based decision related to marketing and sales campaign efficiency, performance evaluation criteria for sales and marketing team.
Predicting voltage fluctuation in large grid connected PV plant
January 1, 2015 – Present
We had used six months of minute wise data captured at plant side to create prediction model as well as find important factors out of large data set of approx 1 gb/month of data. We had used various time-series and machine learning technique to train and test models(multinomial regression, random forest, SVM).
Machine Learning/Pattern Recognition
October 1, 2014 – Present
Project was to conduct data cleaning, refactoring and analyzing and provide a model with best accuracy to predict/label the data with as small percentage of false positive as possible. We had done SVM, k-nn, Neural network, decision tree, random forest technique to reach the ultimate model.
Data Visualization Project using Tableau
August 1, 2014 – Present
This was a end term project for the Data visualization class by Prof. John Tripp(http://business.baylor.edu/directory/?id=John_Tripp) taken at ISB for semester 2 CBA.
Simulation case study for Airline/hotel seat/room allocation
August 1, 2014 – Present
Case study was done for Airline client and a hotel on optimizing the room rate for the whole next month and seat pricing to optimize the profit of the client. We had used @Risk tool to do simulation study.
Portfolio optimization for stock market investment
July 1, 2014 – Present
Using data available in Yahoo! finance and do portfolio optimization and find how a person should invest to achieve certain financial goals. I have created model based on which user can get suggestion based on historical stock data and returns expected.
Big Data Project using Hadoop and NoSQL
March 1, 2014 – Present
We created a map-reduce job on AWS to analyze the output of a server log. After that we compared the output with result of Pig to find if the result match or not and which technique works better. The same was done on the stand alone machine as well as distributed architecture on multi datanode setup done on AWS.
Data Scraping and Analyzing for Amazon and Social Media Platform
March 1, 2014 – Present
Project was to collect review information from the amazon website about Xbox One and create a word-cloud by doing sentimental analysis on the data scrapped from the website.
Market Basket Analysis, Finding important factors in high dimension data (720 columns for 80k rows)
March 1, 2014 – Present
Do market basket analysis for an open source data about a cosmetic company and extract important factors(using various technique such as PCA, Fischer Projection, etc) plus create rules based on what product is regularly purchased with which product more often
Reduce Defect Density
March 1, 2013 – Present
I executed this as part of Six Sigma certification process to reduce defect density in my project. Successful execution of this project resulted in saving of around $400k.
Reduce number of test job abends
March 1, 2012 – Present
I was a team member in this project part of my yellow belt six sigma certification. Successful execution of this project resulted in CPU saving and $ saving worth $10k.
Retrieval Augmented Generation (RAG)
DeepLearning.AI
June 23, 2026 – Present
Subject Matter Expert - Provider System
UnitedHealth Group
June 23, 2026 – Present
Certified Data Scientist
UNext For Enterprise
June 23, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 23, 2026 – Present
edX Professional Certificate for Text Mining & Analytics
edX
June 23, 2026 – Present
Business Analytics
Indian School of Business
June 23, 2026 – Present
AHM - 250
AHIP Center for Insurance Education and Professional Development
June 23, 2026 – Present
Six Sigma GreenBelt
UnitedHealth Group
June 23, 2026 – Present
Professional Scrum Master 1
www.scrum.org
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from customer lifetime forecasting and voltage fluctuation prediction to market basket analysis and digital marketing optimization, demonstrates a broad interest and adaptability across various business domains. Their experience in multiple companies, including startups (Deepshield AI, Actual Pixel) and larger organizations (Uniphore, UnitedHealth Group), suggests an ability to thrive in different corporate cultures. The target role of 'Data Analyst' aligns well with their core competencies in data analysis, machine learning, and business intelligence, although their recent roles lean more towards architecture and leadership. The breadth of their skills and project types indicates a strong potential for cultural fit in a data-driven organization.
Soft Skills & Operational Fit
The candidate's experience as a Chief AI Solution Architect, Director of Engineering, and various TPM roles suggests strong leadership, project management, and cross-functional collaboration skills. Their involvement in client-facing roles (Lead Client Solution Architect, Principal Consultant) indicates good communication and stakeholder management. The Six Sigma certifications point to a process-oriented and efficiency-driven mindset, which is valuable for operational improvements.