Data Analyst

Aishwarya Subramanya

Boston, MA

www.linkedin.com/in/aishwarya-subramanya

209-***-**** / adjr8o@r.postjobfree.com

SUMMARY

Enthusiastic and focused Analytics graduate seeking to establish a career as a Data Analyst; with prior professional experience and latest academic reinforcement; proficient with data & business analysis tools, data mining, forecasting and data visualisation to enable decision making.

EDUCATION

Master of Science, Professional Studies in Analytics (Focus: Statistical Modeling), GPA 3.78 Jan 2019 - Dec 2020 Northeastern University, Boston, MA

Relevant courses: Probability Theory and Statistics, Database & Management Systems, Data Mining Applications, Intermediate Analytics, Predictive Analytics, Communication and Visualization for Data Analytics, Decision Support and Business Intelligence

Bachelor of Engineering, Information Science & Engineering, First Class Honors Aug 2012 - May 2016 JSS Academy of Technical Education, Bangalore, India SKILLS

Technologies: Software Engineering/Testing, Statistical Modeling, Predictive Modeling, Data Mining, Big Data Programming Languages: Python, R, SQL

Databases: MySQL, SQL Server

Business Intelligence: Tableau

Others: Microsoft Office 365, Data Structures, Project Management ACADEMIC PROJECTS

Capstone Project, Northeastern University, Boston, MA Oct 2020 – Dec 2020

• Demonstrated the skills and knowledge acquired during the program, for a comprehensive real-world problem within a sponsoring organization “PointFocal”

• Developed a project plan and identified the tasks for achieving the milestones effectively

• Developed stock prediction methods for effective decision-making using Machine Learning algorithms

• Presented analytical insights and recommendations on sentiment buzz for “PointFocal”

• Presented a detailed whitepaper of the insights and suggestions obtained from the predictive model

• Delivered an interactive dashboard consisting of the Exploratory Data Analysis of “Sentiment vs Stock price” & Stock performance dashboard which provided insights of the tickers for a specific timeline Data Analysis on Black Friday Sales, Northeastern University, Boston, MA Apr 2019 - May 2019

• Aim was to provide actionable insights to assist key decisions of a retail firm during Black Friday sales.

• Performed Preliminary Analysis to understand the features of the dataset

• Data cleaning was performed as the dataset had some missing values

• Built a linear regression model to understand the customer’s behavior on the products they purchase

• Evaluation metrics, accuracy checks were performed to check the model’s performance to answer the posed problem statement

Boston Employee Payroll Analysis, Northeastern University, Boston, MA Apr 2020 - May 2020

• Project goal was to provide actionable insights on payroll expenditure through assessment of employee earnings across different sectors/departments

• Identified and presented the key metrics as driver and outcome metrics

• Performed exploratory data analysis to identify trends and draw insights

• Performed data pre-processing (including formatting) using imputation techniques

• Performed regression analysis to understand significance of various features towards the target Data Analysis & Visualization on Chicago Crimes, Northeastern University, Boston, MA Nov 2019 - Dec 2019

• Project goal was to suppress crime through visualization of crime trends, predict locations of potential crimes, and drive actions including prevention measures

• Performed data pre-processing (including handling of missing values) and preliminary analysis to identify key features in the dataset

• Performed Exploratory Data Analysis to analyze volume of crime by various features and produce summary statistics

• Developed metrics dashboard in Tableau to address real-world problems identified in dataset Breast Cancer Prediction using Naïve Bayes, Northeastern University, Boston, MA Jun 2019 - Oct 2019

• Project goal was early diagnosis of cancer to drive immediate treatment, through application of ML techniques

• Key objective was to build a model for automatic detection of breast cancer tumors

• Analyzed data to identify features for parameter driven model development

• Successfully built a classification model to detect cancerous cells that met accuracy requirements PROFESSIONAL EXPERIENCE

Cognizant Technology Solutions, Bangalore, India Jan 2017 - Dec 2018 Programmer Analyst

• Communicated with cross functional stakeholders on a daily basis to gather requirements

• Gained experience in Normalization, Procedures, Constraints, Querying, Joins, DDL/DML Triggers using SQL

• Developed data models for potential sales, resulting in 20% better results compared to the historical performance

• Demonstrated a solid understanding of Data Quality concepts and practices for profiling, quantifying, and managing data quality

• Utilized strong Microsoft Excel (VLOOKUP) and SQL skills in order to provide high quality data analysis

• Analyzed & Manipulated large quantitative datasets to discover trends and patterns; Also created meaningful reports to lead business improvements and cost reductions using data & statistical methods

• Manipulated unstructured data with tools such as Python and mined to form insights about the business

• Handled big data with statistical modeling tools such as R

• Used data mining, model building, and other analytical techniques to develop machine learning/predictive models

• Managed functional testing cycles including test planning, script development, status reporting, and test execution

• Initiated KPIs, developed, provided and monitored performance dashboards on a regular basis

• Worked in a high performing transformational team shaping the next generation data & BI platforms

• Worked with Data Visualization tools such as Tableau to develop reports/ dashboards/ scorecards and provide insights to stakeholders

• Ensured that validated deliverables met functional and design specifications and requirements in an Agile & Scrum Environment

• Gained hands-on experience of statistical and machine learning techniques such as regression, clustering, decision trees etc.

CERTIFICATIONS

AS1, AS2 Testing Certificate - Cognizant Technology Solutions, Bangalore.

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