Yashwant Singh

AI Researcher

New York, New York, United States6 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

5+ years of experience in data science and analytics.
Led projects resulting in significant cost reductions.
Expert in predictive modeling and data-driven decision making.

Stackforce AI infers this person is a Data Science expert with a focus on predictive analytics in the SaaS and Fintech industries.

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Skills

Core Skills

Data SciencePredictive AnalyticsData EngineeringMachine LearningModel Risk ManagementProduct ManagementSupply Chain ManagementProcess Improvement

Other Skills

PythonSQLSnowflakeDatabricksGoogle BigQueryJupyterAirflowRMySQLAWS (Redshift)ExcelData AnalyticsCustomer ServiceManagementLeadership

About

I'm a Data Science and Analytics professional with 5+ years of experience in analytics. I'm currently working as a Senior Manager - Data Science at Amex solving problems in the digital analytics space.I believe actionable insights from deciphered data are the key to solving complex problems in diverse realms ranging from business to healthcare. I wish to contribute meaningfully to this growing field.If you catch me outside of work, I love watching almost any sport and am an avid basketball player.I enjoy learning new things and connecting with people across a range of industries, so don't hesitate to reach out if you'd like to get in touch via LinkedIn or through:Email: yashwantsingh6394@gmail.comAnalytical Tools: Jupyter Notebook, RStudio, Looker, Tableau, AWS (Redshift), Google Bigquery, Git, Jira, Airflow, MySQL, Excel, Google AnalyticsProgramming Languages: Python, R, SQL, PySpark, C, C++, D3Analytical Techniques: A/B Testing, Hypothesis Testing, Time Series Modelling, Predictive Modelling, Data Visualization, Statistical Analysis, Clustering, Sentiment Analysis, Web Scraping, Exploratory Data Analysis, Data Mining, NLP

Experience

American express

Senior Manager, Data Science

Nov 2025 – Present · 4 mos · New York, United States

Decision spot

Data Scientist

Mar 2023 – Oct 2025 · 2 yrs 7 mos · Chicago, Illinois, United States

Developed an advanced demand forecasting model using Temporal Fusion Transformer for a Fortune 500 client, improving forecast accuracy, and resulting in a $10M reduction in manufacturing costs by accurately predicting demand.
Automated the data pipeline on Databricks, handling over 100GB of raw data
Designed and implemented a RAG-based Q&A system using SBERT embeddings and LLM-GPT4
Leveraged historical Q&A data/App documentation for faster response generation, improving operational efficiency by 56%
Built an ARIMA-based anomaly detection model to identify significant $/BBL fluctuations in the client’s supply chain, detecting $25M in financial anomalies.
Tech Stack: Python, SQL, Snowflake, Databricks

PythonSQLSnowflakeDatabricksData SciencePredictive Analytics

Equifax

Data Science Intern | Model Risk Management

May 2022 – Aug 2022 · 3 mos · Atlanta

Implemented logistic regression and XGBoost models to identify important attributes for over 600 credit models, which contribute to $3.5Billion of Equifax’s revenue
Developed an automated RCA process using python to identify top features impacting credit scores on Google Cloud Platform to preserve accuracy of data/credit scores for over 300 million people
Worked in a team of 15. Tech Stack: Python, Google BigQuery, Jupyter, Airflow

PythonGoogle BigQueryJupyterAirflowModel Risk ManagementData Science

Sharechat

Product Data Scientist (Trust and Safety)

Sep 2019 – Jun 2021 · 1 yr 9 mos · Bangalore

Designed and implemented two predictive models to identify and reduce NSFW content, leveraging CNNs for image embeddings and fine-tuned BERT models for text, leading to a 95% reduction in NSFW content views
Built an adaptive content filtering pipeline that incorporated active learning from manual reviews, improving model accuracy and reducing the prevalence of low-quality content by discarding or flagging NSFW posts
Managed a team of 5 to deploy Looker models using Advanced SQL from scratch while retaining CleverTap functionalities, thereby reducing cost by 90%, translating to savings worth $27000/month
Worked in a team of 4. Tech Stack: Python, R , SQL, Google BigQuery

PythonRSQLGoogle BigQueryData ScienceProduct Management

Myntra jabong

Data Scientist | Supply Chain & Management

Jul 2018 – Aug 2019 · 1 yr 1 mo · Bangalore

Optimized processes and hygiene, storage, order-fulfilment, returns, excess shipments, and unproductive inventory of 4 Myntra and Jabong warehouses across India
Conceptualised a tool using python and SQL to improve line balancing and produce alerts to reduce leakage in customer order consolidation, resulting in a 2% decrease in leakage and annual savings worth $250,000
Facilitated warehouse teams with implementing changes in the order-fulfilment process, resulting in shrinking order-to-pack time from 4.0 hours to 3.0 hours
Worked in a team of 12. Tech Stack: Python, R, MySQL, AWS (Redshift), Excel

PythonRMySQLAWS (Redshift)ExcelData Science+1