SANDIP DANDAPAT
Mumbai
Summary
Data Scientist with 3.6 years of experience creating machine learning models and retraining systems and transforming data science prototypes to production-grade solutions. Consistently optimizes and improves NLP systems by evaluating strategies and testing changes in machine learning models. Overall 12 years years software industry experience.
Overview
11
11
years of professional experience
Work History
Machine Learning NLP Engineer
Lockheed Martin Corporation
Fort Meade
10.2017 - Current
- Instrumental in researching, prototyping, designing, implementing and evaluating machine learning models for the Automatic Essay Scoring System engine of the Pearson Knowledge Technologies.
- Digging deep into the millions of data records and performing data exploratory analysis using interactive Jupyter notebooks using pandas/numpy/matplotlib and presented the findings to the managers.
- Researched, prototyped (from research papers), built features and optimized(hyper-parameter tuning) the state-of-the-art machine learning and deep learning techniques like SVM, Logistic Regression, Random Forest regression, LSTM, CNN etc., using scikit-Learn, keras, tensorflow on CPU/GPU environments for student text-classification.
- Containerized(Docker) and Deployed the re-producable machine learning models into production through Jenkins CI/CD orchestration onto AWS ECR Repositories/S3-artifacts/k8s after code reviews in an agile process.
- Automated the data science platform by building and managing data pipelines and extensions that bridges NoSQL-databases, APIs, Machine Learning Engine and UIs.
- Applied various transfer-learning techniques using pre-trained word-embeddings like Glove, fastText, Glove, BERT, ELmo, Universal Sentence Encoder for text similarity tasks.
- Developed/Tested/Maintained internal text-processing libraries using nltk and spacy.
- Business problems solved: Identifying suicidal tendency, plagiarism, grammatical correctness, on-topic intensity, intent matching, essay-scoring in student responses.
- Managed and trained Interns on the research projects - Applying 1) CNN with POS Embeddings 2) Character-CNNs 3) Sentence-Piece for Embeddings for student essay scoring.
Data Scientist
Purdue University
Lafayette
04.2017 - 07.2017
- Investigated and Evaluated Machine Learning and Deep Learning Algorithms on Global Weather Forecast data and Road Weather Information Systems sensor data of humongous size to predict road conditions.
- Using RNN, CNN, LSTM and GRU recurrent neural networks in Tensorflow/Keras/Theano to forecast/predict the road weather conditions on time-series data
- Explored the techniques in applying Linear Regression, Support Vector Machines, Decision Tress, Random Forests
- Presented my work in bi-weekly presentations to the management and actively involved in industry visits to NOAA research labs.
Graduate Research Assistant
Akamai Technologies Inc
Hartford
08.2015 - 07.2017
- Designed and implemented a lightweight approach using Gated-Recurrent-Unit on Intrusion data in a IoT network. Thesis Link: [https://etd.ohiolink.edu/pg_10?::NO:10:P10_ETD_SUBID:153365]
- Published a research paper on “Synchron-ITS: An Interactive Tutoring System to Teach Process Synchronization and Parallel Processing in an Operating Systems Course” in the Proceedings of 17th International Conference on Collaboration Technologies and Systems, 2016 as a “Lead Author”.
Software Engineer
Cognizant Technology Solutions
City
09.2011 - 05.2015
- Improved the efficiency of Testing by automating the test-cases using C++, JAVA and VB scripting.
- Appreciation received by the project clients and management for handling crucial situations of the project.
- Supported Load and Performance testing (HP Load Runner) during production releases of the application.
- Led a team of 5 people and received appreciations from Mangers and US Clients in crucial stages.
- Performed Manual and Automation testing on health care X12, JSON, XML and text claims and text stored in multiple databases like MySQL, NoSQL Mongo and Cassandra in Linux and Windows environments.
- Implemented incremental, water-fall and agile methodologies in Software Testing Life Cycle in project.
Education
Master of Science - Computer Science
Wright State University
Dayton, OH07.2017
Bachelor of Science - Electrical, Electronics And Communications Engineering
MVSR Engineering College
Hyderabad, India05.2011
Skills
- Machine Learning expertise
- Deep Learning
- Software Engineering
- Researching and building quick prototypes
- Natural Language Processing
- Text mining
- Python
- SQL
- System Design and Databases
- UNIX
Accomplishments
- “2014Top Performer of the Year in Cognizant”in a 100 Member team.
- “Pride of Emdeon –QA ”Award from the project client Emdeon Health care, Nashville, USA.
- Graduate Research Fellowship award in Wright State University (net-value is $ 60000)
- Travel Grant for Presenting my research paper in CTS Conference, Orlando, Florida.
- Prestigious NSF Grant received for Deep Learning Research internship at INRIA research lab, France.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Machine Learning NLP Engineer
Lockheed Martin Corporation
10.2017 - Current
Data Scientist
Purdue University
04.2017 - 07.2017
Graduate Research Assistant
Akamai Technologies Inc
08.2015 - 07.2017
Software Engineer
Cognizant Technology Solutions
09.2011 - 05.2015
Master of Science - Computer Science
Wright State University
Bachelor of Science - Electrical, Electronics And Communications Engineering
MVSR Engineering College
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