Technical: Proficient in Python, R, C#, Machine Learning, NLP Advance

MOHIT JAJU

Master of Science in Information Systems

Experienced Business Technology Analyst with strengths in Predictive Analysis, Database Management, Machine Learning, Software development and Digital Data Modelling. Proficient in designing and enhancing optimum digital models and data analysis *****.****@*******.***.*** +1-240-***-****

LinkedIn : www.linkedin.com/in/mohit-jaju/

GitHub : tinyurl.com/u6hnxqo

Work Experience

Deloitte Consulting LLP (US-India)– Mumbai, India

Business Technology Analyst

July 2017 – July 2019

Developed a system for Health-care US Public-sector project that determined license eligibility for 4000+ individual. Cleaned the collected data and Designed robust algorithms to classify and establish criterion for exemptions through digital surveys

Developed, an automated versioning tool to deploy the web application and data-batch process in a single click, accessing virtual machine connections securely, saving hours of manual steps. Analyzed and visualized results and code deployment trends using Tableau and reduced process time from 2 hours to 12 minutes

Designed training and knowledge transfer programs for the incoming class of 25 new analysts in 2018: reduced onboarding time and expense of recruitment process by 50%

Migrated the project logs from traditional ‘Bug-tracker’ system to the ‘Microsoft Team Foundation Server’ (TFS) platform, acting as the ‘TFS Admin’ and achieved multiple Applause and Spot awards for the same Logiqids India – Mumbai, India

Data Analyst Digital Marketing

Jan 2016 –May 2016

Assigned test product attributes for Schools depending on analysis based on geographical and pricing aspects (Vlookup). Set up customized agenda for Administration meetings and creating RFPs.

Performed predictive analysis for creating an adaptive prototype exam for students using machine learning techniques (neural networks and k-nearest neighbor). The prototype was able to capture student performance and predicted the ability of student to answer future questions correctly with 96% accuracy

Center for Health Information and Decision Systems Research (Artificial Intelligence in Drug Development) Dec 2019 – Present

Analysed the FDA’s perspective towards incorporation of AI in Drug development and healthcare. Personally consulted professionals in these domain areas and summarised different views with major odds in favour of AI to be useful than a threat Education

Masters of Science in Information Systems

University of Maryland, Robert Smith Business School – College Park August 2019 - Present Bachelors of Technology in Electronics and Telecommunications Veermata Jijabai Technological Institute (VJTI) July 2013 - May 2017 Achievements and Social Activities

Mentor, volunteer and tutor to the under privileged students at ‘Teach for India’ (TFI)

Managed and counseled under- privileged kids prepare for Olympiads and Scholarship exams as a part of a Deloitte Social Initiative Skills

• Java, C#, ASP.NET

• JavaScript, HTML, CSS

• MATLAB, LUCID CHART

• Risk, StatTools, Precision tree

• Business Intelligence Studio

• Microsoft Office

• Photoshop, Illustrator, Corel Draw

• Solid Works, Sketchup

• Python (Data Visualization and sklearn)

• R (Data Mining)

• Tableau, Excel (Data Modelling)

• Database Management Systems (SQL, Oracle)

Projects

PyTubers (YouTube Data Mining and Sentiment Analysis)) Identified and visualized YouTube trending video data based on video length, publish time and 23 other factors. Determined the optimum publish time and patterns in videos that made it to the trending section Performed sentiment analysis and deduced that YouTube promoted Music & Entertainment category most having more positive word tags and News category with negative oriented word tags

Sep 2019 – Dec 2019

Machine Learning for Wireless Sensor Networks using FOG Architecture (VJTI) Remodeled the cloud computing mechanism with the FOG architecture in Water SCADA systems using machine learning algorithms like K nearest neighbor, neural networks, k mean clustering, tree diagrams, Bayesian probabilities etc. Simulated flow-meter recorded data in MATLAB The Rain forest algorithm was the most effective in predicting water flow leaks and pipe defects Jan 2017 –May 2017

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