Name: Soham Mukhopadhyay

D.O.B: **.**.****

Mobile: 971*******

Email: adg346@r.postjobfree.com

CAREER OBJECTIVE:

•Looking for a position as a Data Scientist, where I can apply my analytics and quantitative knowledge to help the Organisation in solving their problems, to be a part of the Organisation and help to achieve its objective and always remain open for learning and helping out team members.

•Keep myself updated with latest technological advancements.

EDUCATION:

•Post Graduate Program in Business Analytics from Praxis Business School (2014-2015)

•MSc. Finance from University of Dundee (2009-2010)

•BBA (Marketing) Maharshi Dayanand University(2004-2007)

•12th Standard from Army Public School New Delhi Science stream(2003)

•10th Standard from Army Public School New Delhi(2000)

SKILL SET:

•Analytics Tools – R/R studio, SAS base, SAS advance, SPSS, Excel

•Data Visualisation - Tableau

•Statistics Skills - Sampling techniques, Correlation & Regression Analysis, Logistics Regression, Central Tendency Measures, Hypothesis Testing, Descriptive and Predictive analytics.

•Data Mining Skills - Clustering techniques, Text mining, Association Rule mining

•Other Skill Sets – Market Research, Retail analytics

Work Experience (23rd May2016-Till Date) at Rubrix Analytics,Data Analyst

•Responsibilities: Data Collection,Data Cleaning, Data Analysis and Building models.

•Learning: Project Management, Analysing students performance, based on marks, social and behavioural aspects. Linear Regression modelling, clustering,correlation and Segmentation.

Work Experience (October2015-December 2016) at Everlytics.io, Jr. Data Scientist.

•Responsibilities: Responsible for start to end (delivery) of a project.

•Learning: Direct interaction with the foreign client,Project Management, Open CV python, Video Analytics Sentimental Analysis, SAS, R, Tableu, Data Reporting.

Work Experience (March2011-June 2014) at AmbaBpo,Sales Manager

•Responsibilities :Achieving revenue targets in defined territory, churn management, handling accounts, taking care of billing/collection /sales related issues, team handling

•Learning: Plan novel concepts and implement them resourcefully, teamwork, pressure handling, relationship building, selling skills, Vendor management, key accounts handling.

•Achievements :

osuccessfully handled a team of 27 field executives

osuccessfully handled mass residential and SME account

PROJECT UNDERTAKEN DURING MSc. Finance

• Dissertation on Micro-finance Institutions Profitability while working for the poor-

Problem Statement: To find out if MFI can be profitable while catering to the poorest of poor.

Approach: Secondary research

Tool Used: DEA

Result: Yes

PROJECTS UNDERTAKEN

•Detection Of Phishing websites-

•Problem Statement : Identify the Features the Phishing websites.

•Approach: Boosted Logistic Regression, SVM with Kernel, Tree bag and Random Forest.

•Tool Used: R studio

•Text Analytics-

Problem Statement: To conduct analysis of reviews of the smart phones from a website

Approach: Word Cloud, sentiment analysis

Tool used: R Studio

•Market Basket Analysis-

Problem Statement: To study the retail data and suggest which items can be grouped together for unselling and cross selling and also perform customer segmentation.

Approach: Apriori algorithm, Logistic Regression, Decision Tree, RFM

Tool Used: R

Result: Items that are bought together were identified and the customer segmentation was achieved.

•Efficacy of drugs -

Problem Statement: To compare the effectiveness of 3 groups of drugs undergoing operation in combating Nausea, vomiting, tachycardia and Bradycardia.

Approach: Compared results of the groups among themselves and then with the standard units using ANOVA and t-test.

Tools Used: SAS

•Data Visualisation -

Problem Statement: Prepared several dashboards for a healthcare provider representing Operational, Financial analysis both inter and intra Level. Market Share, geographical representation of data etc. Sentimental Analysis of stock market and forecasting.

Tools Used: Tableau, Excel.

•Video Analytics –

Counting the number of vehicles and categorising them as Bus, Car or Van and calculating the speed in pixel per second.

Tools Used: Open CV Python.

•Predictive Modelling –

Predicting the outcome of a horse racing event and finding out the correlations with different factors.

Tools Used: R Studio

•Education Data Mining - Pass, Fail, Drop, Left Analysis on the last 3 years students Data. Analysis on Behavioural and Demographic aspect of students and how it affects the students overall performance. Identifying the various factors for students performance. Segmentation of students on various factors by building a scoring model.

Tool Used- SAS, EXCEL

ACTIVITIES AND INTEREST:

•Playing Cricket, chess.

•Movie and Sports follower.

•Travelling.

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