Lathrop, CA

925-***-****

ad4dm0@r.postjobfree.com

Sushil Sharma, MS CS, MS Maths,

MBA Analytics

Staff Data Scientist US Green Card

LinkedIn: krishnatray

Github: krishnatray

EXECUTIVE SUMMARY

• A passionate and seasoned Data Scientist with end-to-end ML experience from conception to deployment

• Fluent in exploratory data analysis, supervised (Classification, Regression), unsupervised (Clustering, PCA, Matrix Factorization) machine learning, Deep Learning (CNN, RNN, LSTM, GANs), Natural Language Processing, and Bayesian A/B testing using Python stack (Numpy, Scipy, Pandas, Sci-kit learn, Statsmodels, matplotlib, seaborn, keras/Tensor-flow, NLTK), Spark MLIB, SQL, Postgres, AWS Redshift, and Tableau.

• Experience in leading, mentoring diversified Data teams and working with CxO /Sr VP level business executives EXPERIENCE

Staff Data Scientist / Engineer, Carbon, Inc, Redwood city, CA 2019 – Present

● Developed RAG based chat server to NLP query Invoices, Orders, Shipments Data Mart using Python, Flask, PineCone Vector Database, LangChin, OpenAI LLM API, AWS Redshift, Fine Tuning, Prompt Engg (One shot, Few-shots, Chain of Thoughts)

● Developed various ML Systems viz. Anomaly Detection Model using Scikit Learn on AWS,Resin demand forecasting application using Arima and LSTM models, Developed Printer Churn Prediction ML Model using Scikit Learn, etc.

● Developed various Data pipelines using Python e.g. To Process 1hz sensor data from 1000+ printers and transform and store it into S3 data lake and Designed AWS Redshift Spectrum layer to consume / analyze the data

● Designed / Developed Data Marts in AWS Redshift and Developed Customer 360 Dashboard using Tableau

● Led team of Data Scientists/Data Engineers/Tableau Developers Sr Data Scientist - Hill Physicians, San Ramon, CA 2015 – 2019

● Developed Multiple ML Models viz. Likelihood of hospitalization (LOH) predictive/machine learning model using scikit-learn. It helped in assessing population risk, proactive outreach to prevent hospitalization, and saved about $1 million. Technologies used: Python, scikit-learn, TensorFlow, NumPy, pandas, logistic regression, gradient boosting, random forests, Deep neural networks

● Used Natural Language Processing to categorize medical documents using Python and NLTK. The model helped reducing manual effort. Conducted Exploratory Analytics using Jupyter Notebook, Pandas, Numpy, matplotlib/Seaborn for Member & Provider Data, Segmentation, and Visualization to improve quality of care and cost savings. Data Scientist / Engineer, Slashdot Media (A Dice Company), San Francisco, CA 2014 – 2015

● Developed predictive model for lead generation mailing campaign which Improved response rate by 15%

● Conducted A/B testing, Sentiment analysis of user comments using NLP on the Slashdot top news pages

● Led development of Data warehouse/ETLs, and BI Dashboards development using Tableau VMWare, Cisco, Hewlett Packard, Kaiser Permanente, Palo Alto/SF Bay Area, CA 2008 – 2014 Manager/Principal Engineer BI & Analytics (Consulting)

● Designed and implemented Data warehouses/Data Marts, ETL, KPI Dashboards, Reports using MS SQL Server, Tableau SKILLS

Machine Learning

● Supervised and Unsupervised

● Classification, regression, clustering

● Time series, dimensionality reduction

Programming / Scripting / Libraries

● Python, C++, TensorFlow, PyTorch

● NLP, OpenAI LLM API, LangChain

● Scikit-learn, NumPy, Pandas

Others

● Data Engineering/ETL/BI /SQL/Spark

● A/B Testing

● Lead/manage teams, Agile/Scrum

EDUCATION

MS Computer Systems & Engineering - AI / Machine Learning, California Science and Technology University, CA MBA Analytics & Data Mining, Graduate School of Management, University of California, Davis, CA MS Mathematics, CCS University, INDIA

Galvanize Three months Fulltime Data Science Immersive Program Graduate, San Francisco, CA

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