Data Science Intern Resume

SUMMARY:

Actively seeking a challenging full - time opportunity in the field of Software Development

TECHNICAL SKILLS:

Programming: Python, JavaScript, Java

Framework/Libraries: Django, React, Redux, Express, numpy, pandas, sklearn, seaborn, matplotlib

Tools: Git, JIRA, Postman, Tableau, Google Analytics, Visio

Cloud and Big Data: AWS (EC2, EMR, S3), Scala, Spark, Hadoop, Hive, Pig

Databases: SQL Server, MongoDB, Cloud Firestore

PROFESSIONAL EXPERIENCE:

Data Science Intern

Confidential

Responsibilities:

Developed a prototype for a web-based data product for quick analysis of product telemetry on an interactive dashboard
Enabled Single Sign-On using OAuth2 and created REST API’s for ETL and transition analysis of telemetry data
Designed a flask-based microservice to reduce analysis time to 5 seconds and integrated NodeRed for workflow creation
Used open-source technologies, like MEAN stack and Flask, with an Agile approach in 2 months saving around $20,000

Product Marketing Intern

Confidential

Responsibilities:

Designed the Value Proposition report and automated the processes based on customer profiles using Python and VBA
Enhanced process efficiency by 67% by developing automation scripts for generating custom presentations
Developed a GUI tool using Python (Tkinter) that reduced processing and reporting time of Energy Analysis data by 80%

Product Marketing Intern

Confidential

Responsibilities:

Designed a blogging platform for using React-Redux-Firebase supported by AWS infrastructure
Used Cloud Firestore NoSQL database to support real-time updates to state changes, handle scalability and latency issues
Developed components for performance assessment, and reduced deployment time by 60% by automating processes
Created technical content by doing research, and measure behavior using from Google Analytics

Product Marketing Intern

Confidential

Responsibilities:

Developed software to extract and process streaming twitter data using regular expressions in Scala on a Spark Cluster
Identified hourly popular hashtags by using window aggregation on data stream, and created checkpoints for recovery

Product Marketing Intern

Confidential

Responsibilities:

Designed and developed a dashboard to retrieve, visualize and compare Confidential prices using GDAX Exchange API
Performed sentiment analysis on real-time tweets to identify market status and develop trading strategy

Product Marketing Intern

Confidential

Responsibilities:

Performed Exploratory Data Analysis and created Machine Learning models to predict breast cancer
Enhanced model stability and reduced variance in predictions using K-fold Cross Validation and Grid-Search techniques
Evaluated models for Accuracy, AUC and F1 - score metrics to identify most stable model with 93% classification accuracy

Product Marketing Intern

Confidential

Responsibilities:

Developed use-case diagrams, class diagrams and sequence diagrams for addressing customer and system requirements
Created the data model using Erwin modeler, and generated forms and reports for orders in MS Access