Satish Boddu Email & Phone Number

Toronto, On, Ca

Waterloo, Ontario, Canada

Waterloo, Ontario, Canada

Toronto, Ontario, Canada

Montreal, Quebec, Canada

Toronto, Ontario, Canada

- Designed and developed various agents in Pyspark & Scala to run as jobs on AWS Glue, generating statistical reports of data pulls providing data insights for customers and PMs- Helped with developing an internal ETL data pipeline for the data lake to build a cloud product to access the company’s medical big data- Re-designed and developed in-house tools and ETL pipeline structure using Python, Scala & Spark, reducing run-time on jobs and improve response speeds upto 150% on various stages

Calgary, Alberta, Canada

Toronto, Canada Area

-> Created a logic agent from scratch in python to improve the productivity of the client's sales team through analyzing the millions of rows data providing various insights and suggestions to the sales reps. Also improved the performance of the agent from the initial dev model to the final production model by 95%-> Developed an in-house template engine tool in Python to replace the Java-based Velocity template engine, cutting down on valuable runtime involved in transfer of data and generation of templates, allowing for the rapid-prototyping and significantly improving the speed of development of agents.-> Developed multiple in-house tools and logic agents to aid with the development of insights creation cycle through manipulating various datasets while testing the various existing processes.

Kitchener, Ontario, Canada

Worked on 2 major AI projects over the 4 months centered around reinventing relationship management by building a robust and scalable Artificial Intelligence pipelines that generate insights about prospective clients & companies and presents them in a user-friendly way. Using powerful Machine Learning and Natural Language Processing algorithms processed various financial reports, transcripts, advisors data while discovering hidden trends and correlations. • Worked with several NLP techniques such as tokenization, lemmatization, named entity recognition, word embedding, sentiment analysis, topic modeling, text summarization, and word prediction• Additionally evaluated NLP libraries and models such as NLTK, SpaCy, Gensim, Aylien, Word2vec, GloVe, FastText, ELMo, Universal Sentence Encoder, Scikit-learn and Tensorflow Hub• Used Machine Learning methods such as K-means, Agglomerative Clustering, PCA, t-SNE, Decision Tree Classifier, and Vectorization• Built robust REST APIs using Flask Server and Python targeted towards performing various functions including data cleaning on the dataset and improving the data retrieval process• Summary: NLP, ML, Python, Firebase, AWS, Flask, RESTful API

Waterloo

Waterloo, Ontario, Canada

BETS is a specialized Co-op program for select First-year Engineers. - As an Entrepreneur in training, I completed an intense 40+ hour entrepreneurship bootcamp, followed by 15 weeks of micro-placements with 2 local start-ups. - Personally assisted the start-ups with objectives-driven technical projects to help them reach critical business milestones.

Kitchener, Canada Area

• Automated and Developed two currency exchange rates FX API systems to collect and store historical data and present data for multiple currencies using various data collections tools and developing web scrapers• Worked on implementing direct download and upload of data to AWS Servers, eliminating the need for local storage of data for running the ML models.• Further developed and improved the ML data pipelines through the implementation of Web scrapers, Building generalized codebase for future implementation.

Kitchener, Canada Area

Worked with various teams across the company including, Frontend, Backend, and Cloud Computing. - Worked with Amazon Web Services, especially AWS SNS, AWS Lambda, PostgreSQL and AWS Cloud Watch to develop a system to stress test the conveyor project and check data obtained. - Worked closely with the Machine Learning team and created a testing code written in python for the whole structure from scratch. - Developed an automated configuration file generator using python, which creates multiple JSON config files with similar data almost instantly, reducing the user-errors & man-hours required to create them manually. - Wrote efficient unit-testing code for multiple ongoing projects using pytest in the various departments and conducted tests on the Harvi Dashboard App.

Bachelor Of Applied Science - Basc, Computer Engineering

High School, Mathematics, Physics, Chemistry And Computer Science

Activities and Societies: Student Council Member, Athletics Team, Soccer Team, Cricket Team, Robotics ClubHeld the role of Student House.