Available to hire
I am Nandini Kalita, a Data Scientist and AI/ML Engineer based in San Jose, CA, with 9+ years of experience applying machine learning, deep learning, and advanced analytics to drive cost savings, revenue growth, and operational efficiency across financial services, telecom, and retail.
I have a proven track record delivering scalable AI/ML solutions in global, cross-functional environments (US, Europe, India) and excel at turning business problems into deployable data-driven applications, collaborating with diverse teams to deliver measurable impact.
Skills
Language
English
Fluent
Work Experience
Machine Learning Engineer at Emotionall
September 19, 2025 - October 15, 2025Built automated data collection pipelines using Python (Scrapy, BeautifulSoup) to aggregate global oil & gas tender and contract data from government and industry sources. Developed an NLP module (SpaCy, Hugging Face Transformers) to extract key contract details from unstructured documents. Delivered an executive report highlighting top countries and regions for exploration and production investment. Provided scalable, reusable Python modules for ongoing monitoring of global tenders and regulatory updates.
Lead Data Scientist - Cash securities technology at Citi ( CitiCorp Services India Pvt Ltd )
August 9, 2021 - October 24, 2022Built and deployed LightGBM ML web service predicting trade failures; identified top 50 daily issues, saving ~$80M/month. Implemented CI/CD pipeline using Bitbucket, TeamCity, and uDeploy, with Docker for containerization. Developed and deployed an LSTM autoencoder anomaly detection model for fraud detection in trades and conducted A/B testing against rule-based methods, reducing operational risk by 20% vs. rules-based. Engineered Python full-stack service to process 20GB/5B+ daily trade records (HDFS) with automated storage, interpretation, and reporting. Served as US project SPOC, coordinating data/platform teams and mentoring junior ML engineers.
Senior Data Scientist - Consumer Products & Services at Vodafone ( Vodafone Intelligent Solutions )
August 27, 2018 - August 6, 2021Delivered NMF-based topic modeling solution on customer text data, identifying top handover scenarios and reducing operational costs by 20%. Developed and deployed a deep learning model using RNN/LSTM for intent recognition, achieving 76% accuracy. Led enterprise BI initiative, building automated KPI dashboards in Tableau processing 50GB (10B rows) of daily streaming data from Azure/IBM using PySpark; loaded data into BigQuery, enabling self-service analytics and improving chatbot operational efficiency by 25%. Migrated PySpark/Python jobs from on-prem Hadoop to Google Cloud, reducing infrastructure costs.
Data Scientist - Loyalty & Analytics at Shoppers Stop Ltd
July 10, 2017 - July 6, 2018Designed Naive Bayes sentiment model boosting retention 30% and segmentation model driving 25% sales growth. Built Diwali purchase prediction model (logistic regression) delivering 20% festive sales lift. Established data governance and best practices across cross-functional teams, standardizing KPIs and metrics across Loyalty, Marketing, and Operations.
Data Analyst - Business Transformation Office at Firstsource Solutions Ltd
May 4, 2015 - June 30, 2017Built attrition & hiring models (Logistic Regression, Random Forest) improving retention by 25%.
Systems Engineer at Infosys Ltd
November 15, 2010 - February 4, 2013Worked on Infosys’ product Finacle (C++, UNIX, J2EE).
Lead Machine Learning Engineer (Volunteer) at Omdena Inc
January 9, 2023 - December 27, 2024Omdena Phoenix: Led data preprocessing team and built an AdaBoost-based personal injury claim prediction model for the US. Omdena PeerCarbon: Led model building team, built a CatBoost Regressor climate risk scoring model (integrated Google Earth Engine data) for East African schools, improving accuracy by 30%. Omdena Myanmar: Built and deployed a CNN-based cancer detection model for chest X-rays/CT scans with 82% accuracy. Omdena Berlin: Built and deployed an NLP-based grocery shopping recommender system for Berlin city, using Streamlit.
Education
Bachelor of Engineering in Computer Science at University of Pune (STES Shrimati Kashibai Navale College of Engineering), Pune, India
June 1, 2006 - May 1, 2010Post Graduate Diploma in Management with Analytics at Narsee Monjee Institute of Management Studies, Bangalore, India
July 1, 2013 - April 1, 2015Qualifications
Generative AI with Large Language Models
January 1, 2025 - November 6, 2025Machine Learning Specialization
January 1, 2024 - November 6, 2025Complete Guide to TensorFlow for Deep Learning with Python
January 1, 2021 - November 6, 2025Principles of Machine Learning in Python
January 1, 2020 - November 6, 2025Industry Experience
Financial Services, Telecommunications, Retail, Professional Services, Software & Internet
Skills
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