SHAKTI 

(1+years of experience)

PROFESSIONAL SYNOPSIS

Data Science Enthusiast

• Expertise in Data Analytics and Machine Learning.
• Experienced in training Machine Learning modeling.
• Built, trained, deployed models in google collab Environment.
• Expertise in Exploratory data analysis.
• Beginner experience in using different modelling techniques like Decision Trees, Regression Models, Neural Networks, SVM, Clustering, Dimensionality Reduction using Principal Component Analysis and Deep Learning.
• Beginner with NLP frameworks like NLTK, Scikit-Learn.
• Understanding of Statistical modelling, Multivariate Analysis, Model Testing, Engineering Analysis, Model Comparison and Validation.
• Experience in applying statistical methods for conducting univariate and multivariate analysis of data obtained from the research conducted in the industrial labs.
• Capable to adapt to a new environment quickly.
• Able to work both in team and individual.

TECHNICAL SKILLS

Programming Languages

Python

Database

MySQL

Microsoft Office

Word, Excel, Power Point, Power BI

Technologies

Machine Learning, Data Science, Deep Learning, NLP, Computer, Recommendation Systems,EDA

KEY PROJECTS

NEW ERA CAP

Technologies: Microsoft Power bi.

Tools: Power Pivot, Power Query, Maps, Power Bi Service, DAX.

Data Source: SAP HANA, SAP BW, SQL Server.

Role: Power Bi Developer.

Responsibilities: Involved in meetings with clients for requirements gathering, working with the team of developers and implemented a BI solution for Sales & developed various KPIs, used visuals in reports such as Tables, Matrix & line charts for comparing with previous year sales. Applying Drill through & Drill Down functions and Created Report level, Visual Level, Page level filters in power bi, Created Bookmarks & Buttons, Created Calculated columns& measures with DAX, Used Aggregate, Filter, Time & Date functions using DAX, Experience in Publish of Power BI reports to Power BI service, Sharing Reports & Dashboards & creating RLS for providing security to the Data.

Synopsis: New Era was founded in 1920 and is today the leading manufacturer of caps in the world. New Era has a long tradition and a lot of quality. NY caps and LA caps are some of the world’s most sold caps and the most famous models are manufactured by New Era. Through their long tradition and great experience New Era manufactures caps with the highest focus on quality & Design. They have prepared BI Reports using Crystal & viewing the reports on BI Launchpad. But now they want the Reports to Migrate from Crystal to Power BI. So, we have analysed the existing Bi Reports & prepared the POC accordingly.

COHORT ANALYSIS

Technologies: Statistical analysis and EDA

Tools: Python, Numpy, Pandas, Scikit-Learn, Matplotlib, Seaborn

Role: Data analyst

Responsibilities:

Data Collection

Data Pre-processing

Statistical analysis

Synopsis: The Objective was to find results of data collected from tools with various members of management in an organization, and led staff members to realize the significance of the data.Discover industry trends based on data collection methods and analysis strategies, and used the information to help the company make production and product adjustments to increase efficiency by 12 percent. Capture the users behavior using time series analysis on weekly, monthly, quarterly and yearly basis and finding out the tenant analysis.

TWITTER SENTIMENTAL ANALYSIS.

Technologies: Twitter API key, NLP (text mining),Data filtering(Recommendation System

Tools: Python, Numpy, Pandas, Scikit-Learn, Matplotlib, seaborn, Twitter developer

mode,NLP and jupyter noteb

Role: NLP analyst.

Responsibilities:

• Data Collection
• Data Pre-processing
• Model Training
• Model Performance Analysis

Synopsis: Gathered tweets for some keywords using twitter API, according to the problem statements and filtered out the tweets on the basis of their polarity. Visaulized the behavior of tweets through word clouds and captured the users behavior for particular tweet keyword. Deploying the whole ML model using Microsoft Azure to make it user friendly.

THE PILOT PROJECT WITH DATA ENGINEERING TEAM

Technologies: Azure Databricks, Azure event hub, SQL , Streamsets,Exploratory data analysis &

Tools: Python, Azure Databricks, Azure event hub, flask , marshmallow, POSTGRES SQL,

Role: Data Engineer Trainee

Responsibilities:

• CDC data pipeline
• Data warehouse creation
• TODOAPP creation using flask and rest API
• Dashboard creations using power bi

Synopsis: while working in data engineer team there were so many things for learning few of them are given below .

• Explored on the concepts of CDC pipelines using tools like Azure EventHub, Data Bricks, postgre SQL and recorded the sessions for this whole CDC pipeline.
• Retrieved the data from Database with the help of Restful APIs locally using Flask and sqlite3 database.
• Looked into Data Warehousing concepts like SCDs (Slowly Changing Dimension) with the help of Data Bricks & Delta-Live tables.
• Currently deploying a TODO App locally using Rest API and testing it with the help of Postman Tool
• scrapped the data using both static approach (web scrapping) and dynamic approach(using power bi functions itself) & made some dashboards for finding the business insights on stock market using power bi.