Summary
Overview
Work History
Education
Skills
Timeline
Work Availability
Projects
Generic

Rushikesh Dhanawde

Data Analyst
Mississauga,Ontario

Summary

Insightful, detail-oriented data analyst with three years of experience in developing & implementing data extraction, data analysis, data visualization and other strategies that optimize statistical efficiency and quality.


Overview

3
3
years of professional experience
2
2
years of post-secondary education

Work History

Data Analytics Consultant

Neuro Spark Works Solutions
Pune, Maharashtra
11.2022 - Current
  • Optimized customer segmentation strategies through thorough analysis of purchasing behaviour and demographic factors, leading to targeted marketing efforts with higher success rates.
  • Leveraged machine learning algorithms for predictive analysis, enabling proactive decision-making based on predicted outcomes rather than reactive measures.
  • Applied statistical modelling techniques to forecast future trends and identify potential business opportunities.
  • Improved data quality by identifying and resolving discrepancies, inconsistencies, and redundancies in multiple sources of information.
  • Standardized reporting processes across departments to ensure consistent measurement, analysis, and presentation of key performance metrics.
  • Analyzed large datasets to identify trends, patterns, and actionable insights to support business decisions.
  • Developed and maintained interactive dashboards using tools like Tableau and Power BI to present insights effectively.
  • Presented complex data in a clear and understandable manner for stakeholders at various levels of the organization.
  • Engaged with clients to understand business challenges and propose data-driven solutions.
  • Worked closely with clients to identify key performance indicators (KPIs) and business objectives to ensure alignment in reporting.
  • Cleaned, transformed, and managed large datasets using SQL and Excel, ensuring data quality and consistency.
  • Streamlined data collection and processing workflows, improving efficiency of data-driven decision-making.

Customer Salesfloor Associate

Walmart
Cambridge, Ontario
04.2022 - 04.2024
  • Maintain customers relationship by responding to inquiries and documenting actions.
  • Prepares for customer inquiries by studying products, services, and customer service processes.
  • Ensuring sales targets are achieved through collaborating with stakeholders, understanding & implementing best practices.

Associate - Reporting & Insights

Annalect
Bengaluru
11.2020 - 11.2021
  • Extract, clean, interpret, and analyze data using statistical techniques and Microsoft Excel.
  • Process and map data using Alteryx workflow.
  • Maintained SQL server and Tableau dashboard for Data Visualization.
  • Assisted in creating machine learning models using Python, NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn.
  • Provide insights and reports to clients based on requirements.
  • Manage stakeholder engagements.
  • Plan and design system improvements to meet critical demands and device data governance strategy.
  • Create and assign biweekly tasks on hive.
  • Develop and maintain databases and data systems.

Education

Postgraduate - Information Technology Business Analysis

Conestoga College
Kitchener, ON
01.2022 - 04.2023

Post Graduate Program (PGP) - Data Science Engineering

Great Lakes Institute of Management
Mumbai
08.2019 - 01.2020

Bachelor of Engineering - Computer Engineering

BSCOER’s TSSM, Pune University
Pune
08.2016 - 05.2019

Skills

Programming Languages and Libraries

undefined

Timeline

Data Analytics Consultant

Neuro Spark Works Solutions
11.2022 - Current

Customer Salesfloor Associate

Walmart
04.2022 - 04.2024

Postgraduate - Information Technology Business Analysis

Conestoga College
01.2022 - 04.2023

Associate - Reporting & Insights

Annalect
11.2020 - 11.2021

Post Graduate Program (PGP) - Data Science Engineering

Great Lakes Institute of Management
08.2019 - 01.2020

Bachelor of Engineering - Computer Engineering

BSCOER’s TSSM, Pune University
08.2016 - 05.2019

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse

Projects

Capstone Project: Shopify ERP Integration 

Description: Researched Shopify’s existing system, devised a solution to build a new product for Shopify customers, and conducted various Business Analysis activities.

Key Skills: Requirements Gathering, Risk Management, Return on Investment evaluation, Team Management, Documentation.


  

Capstone Project: Online News Popularity 

Description: This dataset summarizes a heterogeneous set of features about articles published by Mashable in two years. The goal is to predict the number of shares in social networks and whether they will become popular. 

Key skills: Data Visualization, Machine Learning, Inferential Statistics.


  

Big Mart Sales – Predicting Sales (Analytics Vidhya Hackathon)

Description: The data scientists at Big Mart have collected 2013 sales data for 1559 products across 10 stores in different cities. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, Big Mart will try to understand the properties of products and stores which play a key role in increasing sales. 

Key skills: Feature engineering, Machine Learning.

Rushikesh DhanawdeData Analyst