Sasanth Tammareddi Email & Phone Number

San Jose, Ca, Us

San Jose, Ca, Us

San Jose, California, Us

Aruba Central and CNX

San Francisco, Ca, Us

San Francisco, Ca, Us

Los Angeles, California, Us

• Brainstormed and developed tables to store data for a fitness social networking app by using Sequelize migrations to create user info, user connections, and chat message models before loading into PostgreSQL database. • Made improvements to the app by listening to end users feedback to make a more user friendly app.• Established API routes on the server side to the database to get and post data for the client side using Express and SQL queries.

New York, New York, Us

• Delivered autonomous Python refresh tool enabling business human resource (BHR) specialists across the globe to be self-reliant on keeping a custom-built learning management system up to date by utilizing Git and Colgate’s best practices.• Restructured data in Cloud SQL by developing and maintaining stored procedures to update tables. The stored procedure aided with monthly imports directly from the backend leading to 70% less time being wasted. • Simplified large CSV files on client side using Papaparse, an open-source library which parses files and validates each row resulting in a clean dataset and being able to remove 100% of manual labor.• Optimized database calls made by more than 90% by leveraging SQLAlchemy ORM for bulk inserts. Implemented using a dictionary to store row data as an object before doing bulk insertions leading to load times getting cut by 60%.• Presented meaningful technical error messages to non-technical users by creating error logs upon failing database or case logic checks when importing a CSV file into the refresh tool.• Created daily/backfill ETL of digital marketing data allowing analysts to create metric reports to gather revenue growth management insights by getting data from Datorama, cleaning it, and loading it into Bigquery via Kubernetes Pod Operators, Terraform, Airflow.• Deducted 15% of wasted costs by developing metric reports using complex joins, sub queries and nested queries in Google Data Studio allowing BHR to gain more in-depth analysis of financials and employee status on offered courses.• Formulated a Gantt chart to help identify performance variances and agilely plan for critical areas when needed. Chart helped establish a clear line of communication with the business about progress.

Los Angeles, Ca, Us

• Ability to create multiple portfolios which track stock/crypto investment information by leveraged Pip and OOP: Gives more of a in depth analysis by using formulas and displaying them on a static webpage resulting in a better visualization.• Wrote technical indicator scripts by leveraging Alpha vantages API to get asset information: Emotion removed from trading.

Los Angeles, Ca, Us

• AI calculates tactics using a min max algorithm and assigning a score for each move being made resulting in a 90% win rate.• AI calculates next best move by predicting the most efficient moves using alpha beta pruning resulting in quicker move times.

Los Angeles, Ca, Us

• Obtained minimal perceptual loss of image by converting a grayscale image into a 3d matrix of RGB values and applying the k means clustering algorithm to get k sets of colors. • Built and trained images using linear regression and logistic regression models from scratch resulting in better color images.

Los Angeles, Ca, Us

• AI utilizes conditional probability and set differences with logic to safely flag mines using Python and NumPy: Improved survival rate 5 to 15 percent with mine density in range of 30 to 70 percent for each game.

Atlanta, Georgia, Us

Analyzed cryptocurrency tax generation features and communicated with CTO for requirements on how to create product videos. Informational and Instructional videos helped users in the cryptocurrency industry be aware of the features offered as well as be able to easily generate a IRS form 8949 by linking it to many various exchanges in pdf format.