• Hello, I am Akash, a passionate problem solver, IT strategy, product and solutions engineering enthusiast who loves to leverage technology to help businesses by creating ingenious solutions.
• I have experience of working in different industries ranging from tech startups to big MNCs.
• I am currently pursuing my MS in Business Analytics at University of Cincinnati.

Business skills: IT strategy, Business impact analysis, Cloud strategy, Design thinking, Business process management, Project management

Analytical Techniques: Data Mining Data Visualization, A/B Testing, Machine Learning, Statistical Modelling, Time Series Forecasting, Natural Language Processing

Programming languages and Tools: Python, R, SQL, SAS, PowerBI, Tableau, Salesforce CRM

Certifications: Tableau Desktop Server, Salesforce Platform Developer I, Salesforce Certified Administrator

    • University of Cincinnati

    (2021-2022)

    Masters in Business Analytics (curriculum): Data Visualization, Linear Regression, Data Management, Simulation Modeling and Methods,Optimization,Probability Modeling,Data Mining I and II,Applied Statistical Methods,Data Wrangling

    • Deloitte Digital

    (2019-2021)

    Salesforce Business Analyst: Engineered a lending OPS system for a UK based fin-tech bank.
    Worked with a closely knit team to create a CRM cloudbased system to track voyage and cargo details for a British-Dutch Oil and Gas company.

    • OneOps Technology Systems

    (2019)

    Business Analyst Intern: Developed a model which analysed more than 1k+ client feedback for cross-functional teams, increased the customer satisfaction rate by 40%

    • Manipal University

    (2015-2019)

    B.Tech Electrical and Electronics Engineering (Relevant Coursework): Linear Algebra, Analog Electrical Circuits, C programming

    Here's some of my latest work...

    Soccer Analytics

    Manchester is home to the world's two most decorated midfielders - Kevin De Bruyne and Bruno Fernandes. The two midfield maestros are often compared and here's a detailed analytical assessment of them based on goals, assists, XG, XA, XGper90, XAper90 among other parameters using Python.

    Customer Churn Analysis

    Customer churn means a customer ending their relationship with a company for any reason. In this project a dataset of a telephone company was taken and key aspects of its customers who churned were analysed. The goal was to find the qualities of churners and devise plans and schemes for the company to retain majority of them. Hence, improving profits.

    Salary Predictor

    This salary predictor gives you your approximate annual package for a salesforce(CRM) related job based upon 4 parameters (total experience, job skills, job title and location). Data regarding available salesforce jobs was collected from glassdoor and scrapped using selenium and beautiful soup package of Python. Data cleaning and model building done using pandas and scikit learn.

    IMDb Ratings of "Friends" tv show

    Remember "Friends"? The show that most of us watched over and over again and still do if there's nothing good on TV? Well one of the major reasons for the show's success was its consistency in quality throughout the years. Here's a visualization of the IMDb ratings of every Friends episode to depict the show's consistence throughout the years.

    Movie Recommendation System

    The data is taken from the tmdb 5000 movies dataset. This content based movie recommender system recommends movies based on the selected movie. The model uses tags to select similiar movies which are generated based on the characteristics of every movie.