Sai Pradeep Medarametla Email & Phone Number

San Francisco, Ca, Us

Burlingame, California, Us

Helped deploy $50M+ in capital as part of deal teams.

Burlingame, California, Us

Turning raw events data into actionable insights and roadmaps by engaging directly with leadership teams at Goodwater's portfolio of consumer tech startups. (Eg. Defined the north star metric and operational measurement framework at Rise Science; Pricing model and experimentation roadmap at Everlywell)Pattern matching on what winning engagement looks like in consumer tech startups and funneling insights to power investment decisions.Playing with LLMs to quantify consumer sentiment.

San Francisco, Ca, Us

I was the DS lead for the Growth Engagement team, supporting Acquisition, Activation, Retention, and Resurrections. Owned experimentation and roadmaps across In-app Messaging, Coupons, Merchandizing, New Verticals, Email, and Push Notifications.

Boston, Massachusetts, Us

Boston, Ma, Us

Dallas, Tx, Us

Mobility Forecasting:• Developed clustering (K-Means, Gaussian Mixture Models and Multi Step Time Series Clustering) algorithms to classify data patterns in large amounts of time series data to recognize temporal patterns in telecom networks.• Developed a supervised machine learning algorithm (Xgboost, SVR and LightGBM) to predict future ‘user experience data speeds’ using the historic network environment and congestion on network as inputs with 72% accuracy.• Supported various Data Science, Data Engineering, Business operations, Communications and University relations initiatives across multiple business units within AT&T.• Selected for the 'Lunch with the Chairman' program out of 700 interns to have lunch with Randall Stephenson, CEO, AT&T (Fortune 9).• Tools: Hadoop, SQL, Time Series Clustering, LSTM, Keras, H2O, TensorFlow, Ensemble Methods, PySpark, Python, Scikit-learn, Machine Learning, Deep Learning, Tableau.

Dallas, Tx, Us

Automated portfolio prioritization and management:• Interviewed senior leadership team and various Data Science, Data Engineering, Business Intelligence and Automation teams and identified critical attributes of success for the highly diversified portfolio wroth $500 million.• Developed a centralized project ranking system based on the attributes identified along with advanced criteria such as opportunity cost loss, highly skilled resource availability and data foot print.• Delivered a dynamic dashboard that ranks entire portfolio on critical attributes (i.e.. profitability, capabilities, technology evolution, etc.) in real time with the flexibility to change criteria per maturity stage. Project delivered to: David Sedlock, AVP Business operations, AT&T Chief Data Office; (MBA Capstone project, part of graduation requirements)

Dallas, Tx, Us

Theatrical Release Box Office Potential Prediction:•Developed a predictive model using NLP and Machine Learning with 86% accuracy to estimate the box office potential of an upcoming theatrical release.•Leveraged "buzz", sentiment on social media & movie specific attributes to build a robust set of features for thelearning algorithm.•Developed sensitivity curves that establish relationship between specific movie attributes, sentiment on social media and box office potential at different time windows prior to theatrical release.•Tools: Python, Hadoop, SQL, Scikit-learn, Tableau, Machine Learning (XG Boost & Random Forest), Time Series Analysis (MACD Analysis and Dynamic Time Wrapping), Natural Language Processing (NLP), Twitter Analytics.Project Delivered to: AT&T Advertising Analytics; Warner Media Use Case .

Manhattan, Ks, Us

• Organizing Coffee Hour, a program that focuses on cultural exchange with an average of 150 participants biweekly• Planning and coordinating monthly trips organized by the office • Coordinating activities for the International Student Orientation during Fall and Spring semesters

Manhattan, Ks, Us

• Developing workflows, Gantt charts and time estimates for the new equipment installation process.• Assisting the manager in the ordering and procurement processes, keeping inventory on receiving of new technology equipment worth a million dollars.• Managing a team of seven student employees for the project and employing Kanban for smoother work flow.• Constant communication with the interns and personnel in five other departments in a construction environment.

Master Of Business Administration - Mba, Data Analytics

Master’S Degree, Industrial Engineering

Bachelor’S Degree, Mechanical Engineering [Spz. Chemical Process]