Shamim Ahmed

A working professional with knowledge and expertise in Statistical tools and Business Analytics, having past experience in Business Development and Client interactions. Equipped with in-depth knowledge of Banking Products and Services, as well as B2B eCommerce and eMarketplace.

ACADEMIC PROJECTS

1.Regression models using Hitters dataset

Methods used: Linear, Elastic Net and Least Angle regression models

2.Classification model using House_votes dataset Method used: Naïve Bayes classifier

3.Classification model using Mobile_Price dataset Method used: Support Vector Machine

4.Classification model using IRIS dataset Method used: KNN Classification

5.Boston Housing Price Prediction and Building_Shapes dataset Method used: Linear Regression

6.Decision Tree classification using IRIS dataset Measure used: Entropy

7.Air Quality dataset and Adult dataset

Data Preprocessing (Treatment of missing values and outliers) Variable selection and visualization

8.“Bank” Dataset

Recommendation for increasing effectiveness of marketing team

9.Time Series Analysis using Nifty Index data

HR database queries, across multiple tables within the database 10.Workbench database structure and relations

11.Bank data: Hadoop ecosystem for storage, archival and analysis of large cc amount of data, using SQL, Scoop, Hive, Pig, etc.

12. Sentiment Analysis using Pig, collecting real-time tweets from Twitter using Flume

13. “New York Stock Exchange” data analysis using big data

14. Storage, Archival and analysis of large data of a leading eCommerce business

PROJECTS AS BUSINESS ANALYST

• Predictive modeling for Prices of commodities across multiple products & categories, covering steel and metal products

• Predictive modeling to estimate Prices of “Ocean Vessel Chartering”, factoring in all relevant features of the model

• B2C eCommerce platform for a Steel major creating a marketplace for TMT bars, Coils, Sheets, Steel Doors, etc.

• Intranet shopping portal for branded catalog of gift items for internal procurement of a Large corporate

• Collection Dashboard for the company, to offer user specific view to all stakeholders within the organization

• Online repository system for Internal Process Documents, templates and Corporate presentations

Services

• Handling eCommerce (forward auction & reverse auction) for Steel and other commodities

• Business development for eProcurement Services (SaaS) for PR to PO (Purchase requisition to Purchase Order activities)

• Channel Management, including finance to Tier I and Tier II customers in the distribution channel

PRODUCT MANAGER           

• Solution Manager for Factoring Services

• Trade Finance Services (Domestic & International Trade)

• Forfaiting Contracts for “Without Recourse” Finance to exporters

• Forex contracts for hedging of currency risks

• SME lending (funded and non-funded finance)

OPERATIONS HEAD

• “Bankers to the Issue” for IPOs and NFOs for Large Corporates

• Product Manager for Cash Management Services, including issuance

of pre-paid instruments like dividends etc.

• Managing bulk payments and eCMS collections

• Handling dematerialization and Trading of shares

PROGRAMMING LANGUAGES

Python R Programming Hadoop, Pig, Hive, Spark SQL