Devika Sharma Email & Phone Number

New York, New York, United States

New York, New York, United States

- Built data pipelines and workflows to automate data retrieval and analysis tasks increasing efficiency by 35%- Spearheaded the development of an internal tech ecosystem that integrated data from 7 different sources; improved data accuracy by 50% and reduced errors in reporting by 40%- Engineered and deployed ETL pipelines that automated data retrieval and processing, reducing manual data entry by 70% and saving the company 40+ hours per week- Aggregated unstructured data from multiple sources to build the foundation of a new product; led to $100,000+ in new revenue - Conducted stakeholder interviews and analyzed data usage patterns, resulting in the development of analytic tools that improved data accessibility and decision-making speed by 40%- Technical Stack: Microsoft Azure, SQL,Tableau, Python, PyCharm, PostgresSQL

New York City Metropolitan Area

- Conducted data acquisition, cleaning, and integration using BigQuery and Python to speed up computation analysis by 30%- Extracted insights from data using Python and R to identify key drivers of consumer behavior during the pandemic; utilized insights to optimize marketing campaigns and potentially increase online sales by 50%- Created pipelines that efficiently handled retrieval, analysis and visualization of relevant data and insights- Technical Stack: Snowflake, Google Cloud Platform, SQL, Tableau, Big Query

- Architected an upsell conversion model that leveraged customer data and machine learning techniques to predict the probability of customers accepting product pitches for a leading Indian insurance client; achieved 25% increase in upsell revenue and 10% reduction in marketing spend- Interacted one on one with clients for Business and Requirement Understanding- Focused on designing advanced analytics and technology solutions to shape and support business strategy, inform decision making and improve productivity- Deployed a collection propensity model to predict the likelihood of a customer not defaulting on payment and increasing collector capacity by 15%- Built Tableau dashboard to visualize core business KPIs, saving 10 hours per week of manual reporting work- Technical Stack: Python, PowerBI, scikit-learn, Pandas

United States

- Researched in Dr. Madhavi Ganapathiraju’s research lab in the Department of Biomedical Informatics- The primary objective was to analyze and visualize protein and food related data, as well as to help structure the rationale around an in-progress project (to set up a pipeline that correlates gene expression data)

Member of Minsky lab for Artificial Intelligence and Dayhoff lab that dealt with research in the field of Computational Biology, Artificial Intelligence and Machine learning

Chennai Area, India

The SRM-ACM Student part draws in understudies through talks and visits from conspicuous speakers from the ACM Distinguished Speakers Program and the Eminent Speaker's program, specialized and profession workshops, field treks to processing establishments, and other social exercises. My duties as a Vice president involved overlooking all of these events and allocation of resources and responsibilities

Bengaluru Area, India

Research intern under Dr. Madhavi Ganapathiraju and Dr. N. Balakrishnan in the Supercomputer Education and research center, Indian Institute of Science. Worked on the influence a protein-protein interaction has on prioritizing the salient genes associated with a disease.

Master'S Degree, Computer Science

Coursework: Big Data Science, Natural Language Processing, Social Network, Cloud and Machine Learning , Computer Vision, Mathematical.

Bachelors Of Technology, Computer Science And Engineering

With subjects such as: - Machine Learning -Artificial Intelligence -Natural Language Processing -Big Data Science -Probability and Queuing.

High School

Received an award for academic excellence for three straight years in High School and a medal for excellence in Leadership skills.