My name is Hariston Dias. I have a bachelors in Mechanical Engineering and MBA in finance and analytics. I have a professional experience of 5 years, with experience in a startup business. I have worked in cases in analysis of merger deals between two firms using DCF analysis. My concentration in analytics has helped to learn the programming languages such as Python, R, SAS and Excel.
I have worked on portfolio management using risk decomposition of low cap, large cap, and international stocks. Also, worked on credit card Fraud Detection using python and R programming, implementing machine learning models such as Random Forest.
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Experience
Project Coordinator Intern, Lactalis American Group July 2019-May 2020
• Analyze large data sets for insights and given recommendations for the NLEA updates.
• Coordinate launch of new products with teams in US and Europe.
Assistant for Finance, Analytics Courses, University at Buffalo. March 2019-May 2020
• Assist, Grade, proctor and clear the concepts of students.
Manager, Goamela, Sales and Service of Electronic goods Sep 2015 - June 2018
• Conducted market study of electronic devices and changed product range of inventory to lower price items based on findings. Expanded business by selling products online on E-commerce websites.
Instructor (Teaching Experience) Oct 2015 - Dec 2015
• Lecturer for Automobile engineering, Applied physics and Mechanical engineering.
Vedanta Ltd. May 2014- May2015
Mechanical Engineer GA, Mining firm with annual revenue of INR 71,721crore and employee strength of 60,000+
• Designed and installed a new conveyor to transport coal between two different plants.
• Designed and installed new coal crusher shade for easy and safer movement of machine equipment and allocated space for carrying out any sort of work.
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Projects
“Synthesis and Characterization of Nano-grained particle Reinforced Composites” in collaboration with Indian Institute of Science (IISc), Bangalore 2013
• Developed Nano grained particle reinforced composite that can be used as a substitute for knee caps
“Sentiment Analysis of twitter data”
• Analyzed the tweeter sentiment using python programming to find connection with stock market returns.
“Scrapping Sec Data Using Python”
• Scrapped SEC data for Income Statement, Balance Sheet and Cash flow statements using python.
“Predicting stock prices using Machine Learning model Random forests”
• Machine learning model were used to predict the direction of the stock market prices.
“Credit Card Fraud Detection”
• Finding credit card fraudulent transection using python and R programming, and building a machine learning model “Random forest”.
“Merger and Acquisition Deal”
• Analyzed companies to be acquired by the parent company using Bloomberg.
“Portfolio Formation”
• Created a portfolio to maximize profit using risk decomposition of low cap, large cap, international stocks.