
Ajinkeya Chitrey
Data @ Meta | MS Hons @ Columbia University | Ex-Data Science @ Wärtsilä and Quantiphi Analytics | AWS Certified | Data Science | Machine Learning | Big Data | Databases
Updated 7 months ago
6+
Years Experience
6
Roles
44
Skills
2
Education
About
I currently work as a Data Engineer with Meta at their Menlo Park HQ office. I earned my M.S. from Columbia University in December 2023. During the summer of 2023, I interned at Wärtsilä, a global leader in renewable energy generation. In this role, I enhanced demand forecasting models and streamlined analytical infrastructure processes critical to optimizing energy storage and production strategies. Previously, I served as an Analyst (Data Science) at Quantiphi Analytics for two years, specializing in AWS projects. My experience spanned Time Series Forecasting, Predictive Modeling, Cloud Migration, BI Analytics, Computer Vision, and Data Warehousing. In addition to my technical engagements, I led a team of 4 developers for a Fortune 500 client, I successfully managed project releases, gathered technical and business requirements, and maintained strong client relationships. Skills: Programming & Databases: Python, R, PySpark, SQL, Neo4j, MongoDB Frameworks: Tensorflow, PyTorch, Scikit-learn, NLTK, OpenCV, Flask, Git, Spark, Airflow, Beautiful Soup, Apache Beam Cloud: AWS, GCP Visualization: Tableau, Seaborn, Matplotlib, Looker, PowerBI Experimentation: AB Testing, Experimental Design, Hypothesis Testing Other skills: MS Office (Excel, PowerPoint, Word), Google Suite (Docs, Slides, Sheets)
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Experience (6 roles)
Data Engineer
Current2 roles · Sep 2023 - Dec 2023
Graduate Teaching Assistant
Graduate Research Assistant
Data Science Intern
● Executed more than 150 experiments focused on enhancing the Energy Load Demand Forecasting system through the development of new features, robust metric sets, and Deep Learning models. ● Engineered and implemented an ensemble model combining 1D-CNN and LSTM for energy demand forecasting at an isl...
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Education (2)
Columbia University
Aug 2022 - Dec 2023
Grade: 4.1/4 Awarded title of MS Honors Student for exceptional academic performance. Semester 1 Coursework: Statistical Machine Learning Neural Networks and Deep Learning Big Data Analytics Algorithms for Data Science Semester 2 Coursework: Applied Machine Learning Databases Large Scale Stream Data Processing Mathematics for Deep Learning Semester 3 Coursework: Natural Language Processing (NLP) Generative AI
Dwarkadas J. Sanghvi College of Engineering
2016 - 2020
Grade: 9.71/10 Activities and societies: ● National Service Scheme(NSS); Member and Volunteer ● DJS Racing Self Driving Vehicle Department; Machine Learning Projects Head Valedictorian - Graduated Rank 1 in the department. Relevant Coursework: Neural Networks and Fuzzy Logic, Image Processing and Machine Vision, Database Management System, Advanced Digital Signal Processing, Data Compression and Encryption, Object Oriented Programming in Java
Skills (44)
Certifications (2)▼
Facial Expression Recognition with Keras and Flask
Rhyme.com (Acquired by Coursera)
Looker Delivery Verified Professional
Looker
Publications (2)▼
Density Based Traffic Signalling System using Image Processing
IETE-SF (Institution Of Electronics and Telecommunication Engineers) - DJ Strike 2019
Infant Care Assistant using Machine Learning, Audio Processing, Image Processing and IoT sensor network
IEEE International Conference on Electronics and Sustainable Communication Systems (ICESCS) · Jul 2, 2020
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