Udit Singh Tomar

AI Researcher

Gurugram, Haryana, India5 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building predictive models for financial services.
Proficient in MLOps and deploying real-time ML solutions.
Strong background in geospatial intelligence and data science.

Stackforce AI infers this person is a Fintech Data Scientist with expertise in machine learning and predictive analytics.

Contact

Skills

Core Skills

Machine LearningMlopsNatural Language Processing (nlp)Geospatial Intelligence

Other Skills

AWSAlgorithmic TradingAlgorithmsAmazon Web Services (AWS)Applied MathematicsArtificial Intelligence (AI)Azure DatabricksBayesian statisticsCluster AnalysisComputer VisionContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Data ModelingData ScienceDatabase Management System (DBMS)

About

Love solving real life as well as abstract problems logically, quantitatively and/or artistically.

Experience

5 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 2 mos

Current Experience

Indie by indusind bank

2 roles

Lead Data Scientist DVP1

Promoted

Aug 2025 – Present · 10 mos · Gurugram, Haryana, India

Data Scientist AVP2

Apr 2024 – Aug 2025 · 1 yr 4 mos · Gurugram, Haryana, India

Data science and ML related to recommendation systems, strategy and marketing of FDs, Mutual Funds and new customer acquisition. ML models to monthly increase the customer penetration and engagement for different products.
Tracking the impact of strategies on different recommendation model propensity cohorts using Randomised Control Experiments.
End-to-end building, deployment and monitoring of ML models which predict the propensity of response of customers for various products like credit cards, FDs, bill payment, FastTag, account upgrade etc. The models' lifecycles are tracked using MLOps principles. Mostly the models do batch inference on top of data ingestion layer.
An ensemble NLP model with many overlaying conditions, for predicting the purpose code from Swift transaction messages, with>99% accuracy. Registered using ML flow in azure databricks and deployed using databricks serverless autoscaled API for real time prediction.
Automation of bill payment gems given to customers.
Identification of objects and texts contributing to high click rates in marketing images using LIME and CNN models.

Machine LearningLarge Language Models (LLM)Linear AlgebraStable DiffusionMLOpsContinuous Integration and Continuous Delivery (CI/CD)+13

Paytm payments bank

Assistant manager Machine learning

Aug 2023 – Apr 2024 · 8 mos · Noida, Uttar Pradesh, India

Worked on building a model, for the wallet active customers, to predict the propensity of using credit cards for recharging wallet in the next calendar month.
The model was trained on EMR- AWS using pyspark for 4cr customers. Captured >80% positives in top 3 deciles
GeoSpatial data science to identify customer merchant relationships.

Geospatial IntelligenceSQLMachine LearningStatisticsDeep LearningLarge Language Models (LLM)+8

American express

Analyst, Data Science

Sep 2021 – Aug 2023 · 1 yr 11 mos · Gurugram, Haryana, India

Building Machine Learning based marketing models for commercial customers.
Using uplift modelling to predict incremental spend and incremental Average Daily Balance in next year, given various credit card treatments.
The two model approach had first XGBoost model trained on non-responders for predicting the organic growth based baseline future spend.
The second XGBoost model trained on responders, predicted incremental spend that is future spend- baseline pediction.

PythonSQLMachine LearningPredictive AnalyticsData ScienceLinear Algebra+2

Wells fargo

Program Associate, Machine Learning (Enterprise Data Science)

Aug 2020 – Sep 2021 · 1 yr 1 mo · Bengaluru, Karnataka, India

Worked on recommender system for wealth management products and optimization projects
Optimal seating plan for after covid hybrid work from office, so that similar teams sit together and spaces are fully utilised.
Research assistance to AI Model Deployment and Centre of Excellence

Machine LearningPredictive AnalyticsData ScienceLinear AlgebraData Modeling

Blinkit

Data Science Intern

Dec 2019 – May 2020 · 5 mos · Bengaluru Area, India

Stacking DBSCAN results using h3 grids on time dependent customer geo spatial data, to get boundaries of consistently dense polygons for establishing darkstores.
Single Shot detector based object detection model to detect Grofers bag in delivery images.
Route allocation, optimization of last mile delivery using h3 grids.

Geospatial IntelligenceMachine LearningDeep LearningCluster AnalysisPredictive AnalyticsComputer Vision+7

Wells fargo

Data Science Intern

Jun 2019 – Jul 2019 · 1 mo · Bengaluru Area, India

Automation of retrieval of invoice related data.
The highly unstructured data included outlook messages coming from clients, having invoice related information present in attachments ( any format of PDFs, text files, CSVs, excel files, JPGs, HTML files etc.) or present in the message body (sometimes HTML tables).
Developed parser using coordinates of words (PyMuPDF Python library )and regular expressions for PDFs. Used different logics for automatic verification, and achieved more than 99.9% accuracy (as transactions are involved) on 81% of data.

Machine LearningPredictive AnalyticsData ScienceLinear AlgebraData Modeling

Indian statistical institute, pune

Data Science Intern

Dec 2017 – Dec 2017 · 0 mo · Pune, Maharashtra, India

Improving the reliability of high temperature direct chlorination reactor, (10% eﬃciency increase), by modelling the breakdown pattern, under Prof. Subrata Rath, ISI Pune.

Machine Learningreliability modellingPredictive AnalyticsData ScienceLinear AlgebraData Modeling

Iiser mohali

Research intern: Quantum Computing

May 2017 – Jun 2017 · 1 mo · Chandigarh Area, India

Used genetic algorithm for optimization of NMR pulse sequences for qubit state transformations, and worked on making pulses robust against incoherence, decoherence and RF inhomogeneity, under Dr.Kavita Dorai.
Under Indian Academy of Sciences, summer research fellowship.

Predictive AnalyticsLinear Algebra