Analyst Resume
PROFESSIONAL SUMMARY:
- Over 20 years of experience in various IT market segments.
- Comprehensive experience in the implementation and integration strategies within a team oriented environment, utilizing qualitative and quantitative analytical skills.
- Computer science applications including modeling, statistics, analytics, and mathematics to uncover insights in datasets.
- Ability to explore and data mine large sets of structured, semi - structured and unstructured data.
- Worked on product and project development acting as a facilitator between the company and Business Clients.
- Work involved service requests, problem solving, issue resolution, project status review with IT personnel and feedback to company through written documentation on project status.
- Individual household long term electric power consumption analysis using the Confidential Repository dataset.
- Using Exploratory Data Analysis plotted graphs for global active power and energy sub-metering.
- Calculated Mean pollution using monitoring data for fine particulate matter (PM) from 332 locations including out of point, nonpoint, on-road, non-road variables. Analysing variation from standard metric to calculate increasing/decreasing emission levels.
- Ranked hospitals using set metrics like mortality rates for conditions including heart attacks, heart failure, pneumonia.
- Collated and cleaned data recorded on a Confidential S smart phone, from strapped devices placed in various parts of the body e.g. accelerometers on the belt, forearm, arm to predict the manner in which the exercise was done and arrive at an average of each variable for each activity.
- Used two different models: simple linear regression and multiple regression to evaluate miles-per -gallon usage for manual and automatic transmission cars. This project was for "Motor Trend", a magazine on the automobile industry.
- Both models supported the conclusion that the cars with manual transmissions have on average significantly higher MPG's than cars with automatic transmissions.
- Worked on a project to determine weather related impact on public health and economy.
- Parameters of evaluation included fatalities, injuries, property and crop damage to determine which types of events are most harmful to the population health and economy.
- I have also developed a Shiny app that helps to choose a car based on certain characteristics of the cars that one desires: Cylinders, Displacement, Horse Power and Transmission.
- Another app that I have developed is called Confidential Prediction.
- The objective of this application is to input a phrase or multiple words and then predicts the next word. In order to accomplish this task text data bases from tweets, blogs and news are being used.
- The project also builds various statistical models and uses n-gram models and rules such as Natural Language Processing(NLP) to predict the next word.
- I have used Kaggle dataset to construct European Soccer game outcomes.
- Using mixed effects model, I predicted the goal scoring ability of players and their future performance based on cumulative player statistics. One of the methodologies used was Exploratory data analysis that graphically represented the number of countries playing soccer between 2008 - 2016. Outcome prediction was based on 3 classes: home win, draw and away win.
- I have used Health Insurance Marketplace dataset from Kaggle to explore health and dental plans data in the US Health Insurance Marketplace. Some of the data analysis included variation in plans and benefits from one State to the other and impact of age on plan rates and benefits. It also included variations across insurance network providers.
SKILLS AND TOOLS:
SQLite database engine
MS-Access, MS-Excel, MS- Powerpoint
R and RStudio, Rpubs
I also understand big data technology like Hadoop
Visual Basic, HTML, COBOL, Pascal, QBasic, Dbase, Dbplus
Shiny Apps, googleVis, rcharts, Plotly, Slidify
Have hands-on working experience in Practical Machine learning and Statistical analysis in deriving meaningful insights from raw data.
WORK EXPERIENCE:
Analyst
Confidential
Responsibilities:
- Data analysis of individual customer trends to assess and recommend insurance products best aligned with profile facts.
Banking Specialist
Confidential
Responsibilities:
- Analysed customer's financial portfolio to identify trends and recommended products and services to accomplish unmet needs.
Business Development
Confidential
Responsibilities:
- Collated data on high worth individuals and marketed products and services.
- Advised cost, profit and benefit analysis on new ventures.
Business Associate
Confidential
Responsibilities:
- Worked for a communication company that handles the marketing of top Canadian brands.
IT Specialist
Confidential
Responsibilities:
- Imparted IT training, developed motion graphics and special fx etc.
IT Specialist
Confidential
Responsibilities:
- Graphic Designing
- IT Training
Senior IT Consultant
Confidential
Responsibilities:
- A leading IT Training Organisation.
- Provided technical expertise on the product portfolio of the company to the decision makers.
- Study, analysis and documentation for the introduction of A+ certification course.
- Delivered POS (Point of Sale) solutions (hardware and software) for retail outlets like supermarkets, pharmacies.
Marketing Communications Engineer
Confidential
Responsibilities:
- Analyzed organizational requirements, customer consultancy and educating organizations on their requirements.
- Responsible for ensuring that the product and service portfolio of the organization got constantly updated and re-engineered to meet constantly changing needs of the market place and the IT industry.
- Also looked at niche market segment development like Hospital Management Information System.
- Created an awareness of the benefits of a relatively new concept like internet to the business community.
- Demonstrated the cost benefits of using Internet over conventional methods of advertising products and services.
Computer Lecturer
Confidential
Responsibilities:
- Taught basic computing principles and programming.
- Designed, developed, tested and implemented Financial Accounting and Inventory Management software system.