Digital Marketing Data Analyst

Nishant Jadhav

860-***-**** *******.******@*****.*** www.linkedin.com/in/nishant--jadhav/

EDUCATION

Master of Science, Business Analytics and Project Management August 2019 – Present University of Connecticut School of Business, Hartford, CT 3.86/4.00 CGPA

• Relevant Coursework: Predictive Modeling, Statistics in Business Analytics, Database Management, Project Risk and Cost Management, Business Decision Modelling, Data Mining, Web Analytics, Business Intelligence, Visual Analytics

• Teaching Assistant for Web Analytics

Bachelor of Engineering, Major in Information Technology May 2017 University of Pune, Pune, India 8.30/10.00 GPA

SKILLS

Programming: C/C++, Python- Numpy, Panda, Scikit, R, SQL, HTML/CSS Database: MySQL, Oracle, MongoDB

Tools: R-Studio, JMP Pro, Jira, Google AdWords, Google Analytics, MS Project, Tableau, MS Excel, SAS Enterprise Miner Machine Learning Techniques: Hypothesis testing, Classification, Regression, Clustering ACADEMIC PROJECTS

Pre-release Movie Success Prediction Machine Learning

• Developed an application to predict the success of a movie before its actual release. Tested a number of models including Xgboost and KNN after data cleaning and pre-processing. Achieved an accuracy of 64% which is more than linear models and previously achieved results

Stock Prediction Predictive Modeling

• Predicted Dow Jones Industrial Average stock (DJIA) to at 55% accuracy deploying classification, Regression analysis, Random Forest and Neural Networks

Database Management for Forever Young Business Process Modeling

• Reinvented a hypothetical failing beauty product company by changing its database structure and business process modeling. Leveraged SQL to transform its database

Analysis of Agricultural Data- An Ensemble Based Hybrid Approach Machine Learning

• Extracted and transformed data from Indian Meteorological Department and made an ensemble-based hybrid mathematical model with least error to predict rainfall in Nashik region depending upon the influencing factors Sentiment Analysis of Multilingual Data using Machine Learning Machine Learning

• Extracted data and used classification by Naïve Bayesian algorithm, classification by Decision Tree algorithm and tested models using Weka

EXPERIENCE

Merkle Sokrati Business Analyst - Pune, India Feb 2019 – Jun 2019

• Worked with the marketing team and designed digital marketing campaigns for Maruti Suzuki Dealers in India using Google AdWords and Google Analytics

• Managed a team involved in day to day analytics and budget improvisations of advertisement campaigns

• Founded the Hyperlocal Team which improved the lead generation for Bajaj Auto dealers by 4.5 times Red Orange Technologies Business Analyst - Pune, India Jun 2017 – Feb 2019

• Worked with the various clients to manage their digital marketing campaigns using Google Analytics

• Spearheaded a Client Engagement team involved in analysis of business needs and requirements

• Collaborated with New York team for the development of internal banking application Couponzguru Data Analyst Intern - Pune, India Apr 2016 – May 2017

• Analysis and identification of big data and implemented predictive analysis using Excel, R, SQL. Produced and presented various reports through PowerPoint and other MS office tools regarding purchasing trend of the customers Achievements and Other Skills

• Cleared state level Mathematics competition, an active Model United Nations (MUN) participant, captain of the State Winning College Basketball team. Winner of Cyber Genius- a district level MS PowerPoint competition

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