Research Assistant
CurrentMasters thesis student working under Dr.Jun Zhuang in decision data and risk lab.
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Sai Sandeep Karri is listed as Data Scientist | MS IE at University at Buffalo | Ex-MLB | Ex-Tredence| NIT RR'19 at The Research Foundation for SUNY, a with 715 employees, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Sai Sandeep Karri.
Sai Sandeep Karri previously worked as Research Assistant at The Research Foundation For Suny and Data Scientist at Major League Baseball (Mlb). Sai Sandeep Karri holds Masters, Industrial Engineering, 3.75 / 4 from University At Buffalo.
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As a consultant at Tredence, I worked with the last mile teams of a top retail company to improve their delivery service. I built dashboards, maintained data warehouses, and developed key performance indicators that translated into insights for the business team. Previously, I was an engineer II at Neewee, where I used my skills in machine learning and data mining to solve real-world problems in various industries, such as supply chain and manufacturing. I built models that generated business insights from data, and helped clients achieve their goals.I am currently pursuing a master's degree in industrial engineering from the University at Buffalo, with a focus on data analytics.
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Buffalo, New York, United States
Masters thesis student working under Dr.Jun Zhuang in decision data and risk lab.
New York City Metropolitan Area
My primary responsibility was analyzing the 2023 regular season ticketing data to gain insights into fan behavior and purchasing trends. I developed a personalized recommendation model for the MLB Ballpark app, which suggested upcoming games based on users' preferences and attendance history. This involved implementing a daily job on Google Cloud Platform (GCP) to score and update recommendations, which were then integrated into a Streamlit application for real-time user interaction. Throughout this project, I utilized tools/frameworks such as Python, Google BigQuery, Streamlit.
Bangalore Urban, Karnataka, India
As a data science consultant, I played a key part in the team working with key stake holders of the world's largest retailer. I was responsible for creating and maintaining Tableau dashboards tracking key performance indicators such as on-time delivery, driver utilization, cost per delivery, and Net Promoter Score. Additionally, optimizing data performance on the Google BigQuery and Azure Databricks platform, automate reports for multiple business teams. Construct models for estimating the cost impact of new initiatives. Also, Alteryx spatial analytics tools for estimating delivery and household coverage. The role demanded strong communication and collaboration skills, along with proficiency in SQL, Tableau, Python, Excel, Apache spark and a grasp over cloud technologies like Google Cloud Platform, Azure Databricks.
Bengaluru, Karnataka, India
I primarily served as a customer-facing data scientist, tasked with addressing problem statements presented by our clients. My responsibilities included translating these problem statements into data mining models and deploying them in near real-time. I also played a crucial role in validating the success and failures of these models in real-life scenarios.In addition, I managed the entire data engineering aspect of a shop floor digitalization project and served as the main point of contact for all data-related components. My work primarily involved building machine learning models, data mining models, and time series modeling, which encompassed both univariate and multivariate models. I also worked with specialized models, such as remaining useful life models and forecasting.This role required strong communication and collaboration skills, along with proficiency in a variety of tech stacks and a deep knowledge base covering machine learning, time series modeling, and data mining models. I heavily relied on tools and technologies like Python, SQL, Spark, Docker, and also on AWS Cloud.
Other employees you can reach at rfsuny.org. View company contacts for 715 employees →
Frank Lehouillier
Colleague at The Research Foundation For SunyLas Cruces, New Mexico, United States
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Lillith S.
Colleague at The Research Foundation For SunyAlbany, New York, United States
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Sue Tesoro
Colleague at The Research Foundation For SunyManorville, New York, United States
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Peter Krumpholz
Colleague at The Research Foundation For SunyTroy, New York, United States
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Allison Rose Chapman
Colleague at The Research Foundation For SunyBuffalo, New York, United States
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Robert Gaik
Colleague at The Research Foundation For SunyBuffalo, New York, United States
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Katherine Leclair
Colleague at The Research Foundation For SunyGreater Binghamton, United States
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Kazim Jafri, Mpa
Colleague at The Research Foundation For SunyAlbany, New York Metropolitan Area, United States
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Joel Hinkley
Colleague at The Research Foundation For SunyAlbany, New York, United States
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Scott Corbett
Colleague at The Research Foundation For SunySaratoga County, New York, United States
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Fall 2023 courses - stochastic methods, data analytics and predictive modelling, game theory, operations research, Spring 2024 courses.
Quick answers generated from the profile data available on this page.
Sai Sandeep Karri works for The Research Foundation for SUNY.
Sai Sandeep Karri is listed as Data Scientist | MS IE at University at Buffalo | Ex-MLB | Ex-Tredence| NIT RR'19 at The Research Foundation for SUNY.
Sai Sandeep Karri is based in New York, United States while working with The Research Foundation for SUNY.
Sai Sandeep Karri has worked for The Research Foundation For Suny, Major League Baseball (Mlb), Tredence Inc., Neewee, and Defence Research And Development Organisation (Drdo).
Sai Sandeep Karri's colleagues at The Research Foundation for SUNY include Frank Lehouillier, Lillith S., Sue Tesoro, Peter Krumpholz, and Allison Rose Chapman.
You can use AeroLeads to view verified contact signals for Sai Sandeep Karri at The Research Foundation for SUNY, including work email, phone, and LinkedIn data when available.
Sai Sandeep Karri holds Masters, Industrial Engineering, 3.75 / 4 from University At Buffalo.
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