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Data Scientist

Location:
Jersey City, NJ
Posted:
July 07, 2017

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Resume:

Abhishek Desai

Jersey City, NJ *****

201-***-**** • *********@*****.***

Well experienced in the business world and proficient in the technical environment, I'm naturally curious about problem solving and a voracious student. I enjoy identifying, analyzing and solving business problems, interacting with my colleagues and finding ways to overcome the obstacles to business development. Impactful because I enjoy the technical and professional challenges that accompany business analysis and data science, I apply discipline, hard work and intelligence to find success.

PROFESSIONAL

NYC Data Science Academy Jan. 17’– Mar. 17’

Data Science Fellow

●Participated in the Numer.ai anonymous hedge fund challenge using a meta-model approach to create anonymous investment strategies using Neural Networks and Ensemble methods

https://blog.nycdatascience.com/student-works/numerai-hedge-fund-competition/

●Competed in the Renthop Kaggle competition using ML algorithms such as Random Forest, GLM, kNN and Ensembles

http://blog.nycdatascience.com/student-works/renthop-predicting-interest-level/

●Conducted a web scraping project using Python & PyCharm to scrape the Southern District Court of NY for Sentiment Analysis and NLP insight.

●Built an interactive web application in R and Shiny that showed the appeal of the many different types of burritos in San Diego by quality, location and price

American International Group Feb. 10’– Mar. 16’

Sr. Business Analyst

●Monitored performance for 23 in-house law firms, domestic and internationally, across multiple lines of business and a $100M overall budget

●Designed, developed and implemented pricing models for AIG Staff Counsel, making the switch from hourly billing to flat fee

●Managed a $160M savings program, domestically and internationally

●Collaborated with AIG Science to build and apply best-in-class analytics for advanced claim and litigation issues

●Collaborated with AIG Actuarial to measure impact on loss development triangles, and impact on books and budgets for future years

●Conduct all aspects of reporting and analysis from requirement gathering to design, construction, testing and implementation with various domestic and international Business Units, with special focus on Staff Counsel program development, Law Firm Panel Management and Alternative Dispute Resolution

●Designed and built reporting portfolios in the subject areas of efficiency, volume, pricing and payment

●Conducted research in Law firm contracting, assignment and payment programs using current econometric techniques and sampling methods

●Managed the cloud computing program within AIG’s Litigation Management program using Salesforce

Lord, Abbett & Co.

Business Analyst Oct. 05’ – Jan. 10’

●Lead complete research process from requirement gathering to data sampling, reporting and analysis

●Produce reporting analytics for diverse internal businesses ranging from Audit to Econometrics

●Conduct performance and forecasting analyses and lead the resulting development discussion with stakeholders

●Build and detail reporting universes through Requirement gathering, User Acceptance Tests, QA testing

●Test and implement production rules using a Rules Engine

Trade Support –Mutual Funds Oct. 04’ - Sept. 05’

●Resolve unmatched fund trades, including Fixed Incomes, Municipals, Retail and SMA with counterparties

●Led development teams to build Access/SQL databases and reporting

NJ Dept. of Consumer Affairs (Office of the Attorney General)

Administrative Specialist (internship) Jan. 03’ – Sept. 04’

●Transaction process management and case file processing in Engineering and Business Law

●Result validation process for NJ Law Exam for Engineers

TECHNICAL

Skilled in Python, R, SQL, Cognos, Business Objects, Qlikview, Tableau, SAS, TOAD. Working knowledge of Hadoop, Spark, MongoDB, AWS & Google Cloud for Big Data manipulation, as well as Web Scraping for data gathering and analysis.

EDUCATIONAL

NYC Data Science Academy – Bootcamp in Machine Learning and Analytics

Python, R, Machine Learning, Regression & Classification, TIme Series Analysis, Neural Networks, NLP & Sentiment Analysis

Stevens Institute of Technology - Masters: Financial Engineering (Mar. 16’ - Current)

Rutgers University of New Jersey - BS Economics & Finance, Minor: Philosophy

Bengali Assoc. of Students, President, Student Government, Senator

Parkview Manor Board; President



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