Summary
Overview
Work History
Education
Skills
Timeline
Generic

Ankit Dhingra

Noida

Summary

Results-driven management professional with proven ability to lead teams to success. Strong focus on team collaboration, operational efficiency, and achieving measurable outcomes. Adept at strategic planning, process improvement, and fostering culture of accountability and excellence. Known for adaptability and consistently meeting changing organizational needs.

Overview

2026
2026
years of professional experience

Work History

Manager Data Science

Wipro
- Current
  • 11 years of experience as a Data Scientist, Machine Learning Expert.
  • 15 years of Total IT experience.
  • Currently working with Wipro in Gurgaon as Manager Data Science.
  • Previously worked with Number Theory, Birla soft, Sapient and Fiserv.
  • Experience in Machine Learning/Artificial Intelligence
  • Experienced in Statistics, Machine Learning, Time Series Forecasting, and Text Mining & NLP.
  • 11+ years of experience in Python, R, PySpark.
  • Deep learning and Image processing; Demand Planning & Forecasting
  • Promotion effectiveness & ROI using statistics.
  • Successfully delivered projects under strict schedules. Ability to learn new concepts and to adapt to new environments
  • Worked in multiple domains like CPG, FMCG, Marketing, Banking, Energy and telecom.

Wipro Ltd
05.2020 - Current
  • Project: Data Augmentation tool (Stats Summary Generation)
  • May 2023 – till Date
  • Description
  • Tool to generate below for any given table - Missing Value Imputation, Find different Segments, Time Series Forecasting for next weeks etc.
  • Skills used- Clustering, Xgboost, Regression, ARIMA and Python.
  • Steps –
  • 1. Write script to scan Table, Find Columns with Missing values, Shortlist such columns where it make sense to impute missing values
  • 2. Identify Algorithm type i.e. classification, regression, time series.
  • 3. Train, Evaluate ML model for Imputation and Time Series Forecasting
  • Project: Operational Cost Forecasting
  • Nov 2021 – May 2023
  • Description
  • Time Series Forecasting of Operational cost of various department, Segments and area.
  • Skills used- Xgboost, Regression, ARIMA and Python.

Alight Solutions
05.2020 - 10.2021
  • Project: Automated Document Processing (OCR and NER)
  • Description
  • This will read the text of PDF using Custom OCR and extract entities (NER) in the given document.
  • Skills used- Tessaract, CTPN, EAST, LSTM, Xgboost and Python.
  • Steps –
  • 1. Preprocess & Extract text the Document (OCR)
  • 2. Classify the document using xgboost
  • 3. Extract Entities as per document type with LSTM.
  • 4. Match the extracted entities with claim and validate few rules.
  • Responsibility –
  • 1. Understand the requirement and design the solution.
  • 2. Developed Custom OCR using CTPN and East
  • 3. Trained LSTM based entity extraction.
  • 4. Manage, mentor the team and project progress
  • 5. Communicate with client and manage expectations.

Number Theory
08.2019 - 05.2020
  • Project: Recharge and Data usage Forecasting and Next Best offer
  • Client: Indo-sat telecom
  • Aug 2019 – May 2020
  • Description
  • Developing a machine learning system to forecast customers next month recharge and usage, based on historical usage and promotion data. Using various models like xgboost, RF, ARIMA, BSTS, ELM, Ensemble etc.
  • Responsibility –
  • 1. Understand the requirement and design the solution.
  • 2. Explored both uni-variant and multi variant.
  • 3. Tried multiple season & trend options, added multiple outside variables like promotion, events, discounts and advertisements.
  • 4. Manage, mentor the team and project progress
  • 5. Communicate with client and manage expectations.

KPIT BirlaSoft
02.2017 - 08.2019
  • Project: Order forecasting for FMCG Warehouse
  • Client: Unilever
  • Oct 2017 – Aug 2019
  • Description
  • Developing a machine learning system to forecast orders to be received by the manufacture in next month for various categories and products, based on historical order received and promotion data. Using various models like xgboost, RF, ARIMA, BSTS, ELM, Ensemble etc.
  • Project: Warranty Claims Analysis
  • Client: PACCAR, USA.
  • MAR 2017 – OCT 2018
  • Description
  • We have developed a Machine learning (text mining & Classification) based tool used to automatically identify failure systems and sub systems in Vehicle based on diagnostic data and inspection text & other details. Ensemble of Xgboost and other models being used for prediction with various statistics like kappa, probabilityvector, PV Yield to assess model accuracy.
  • Explored Deep learning & NLP for image processing and semantics analytics to analyze inspection photographs and other data.
  • Automatic thesaurus generation using word embedding (Word2Vec) and clustering. Exploring Transfer learning and Multi task learning to improve models by sharing knowledge among them.

Sapient Consulting
02.2014 - 01.2017
  • Project: Promotion & Advertisement Effectiveness
  • DEC 2016 – JAN 2017
  • Client: Walmart, CANADA
  • Description: Walmart runs various promotions for their customers to boost sale and generate additional revenue. They want to identify lift caused in sale volume & profit by individual promotion and best effect of individual advertisements.
  • There project also aim to identify lift, cannibalization and pull back due to promotion and ROI of same.
  • We also need to forecast base sale for time when promotion is running to calculate lift on the provided Panel data.
  • Title : Meter Drift/Repair date Prediction
  • Type : Time Series Forecasting & Prediction | Oct’14 – Jun’ 15
  • Environment : Tableau, R, SSIS (ETL), SQL Server.
  • Description : This includes Prediction of the meters on pipelines for repair, replacement date and Forecasting of Meter Factor using regression and predicting Flow rate for next year using regression techniques & AR model for second layer modeling.
  • It includes a Dashboard application is to show data analyses, predictions, various visualizations/charts to show various trend in data (created in Tableau).

DotNet Developer

Fiserv Inc.
10.2011 - 01.2014
  • Worked as a DotNet Developer

DotNet Developer

Brickred Technologies
06.2010 - 09.2011
  • Worked as a DotNet Developer

Education

Bachelor of Technology - Computer Science

Rajasthan Technical University
01.2009

Business Analytics & Data Science

Indian School of Business

Skills

  • Programming Languages: Python, R, C#, SQL, PySpark
  • Big data: Py-Spark, AWS
  • ML Libraries: GEN AI, langchain, Tensor Flow, Keras, NLTK, YOLO
  • Algorithms: LLMs, Random Forest, Regression, XGB, NNET, Clustering, NLP
  • Tools: VS Code, Anaconda, R Studio, Tableau, Azure, AWS
  • Database: SQL Server, Vector DB
  • Data Science Skills – Gen AI, Image, Machine Learning, Deep Learning and NLP

Timeline

Wipro Ltd
05.2020 - Current

Alight Solutions
05.2020 - 10.2021

Number Theory
08.2019 - 05.2020

KPIT BirlaSoft
02.2017 - 08.2019

Sapient Consulting
02.2014 - 01.2017

DotNet Developer

Fiserv Inc.
10.2011 - 01.2014

DotNet Developer

Brickred Technologies
06.2010 - 09.2011

Business Analytics & Data Science

Indian School of Business

Manager Data Science

Wipro
- Current

Bachelor of Technology - Computer Science

Rajasthan Technical University

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Ankit Dhingra