Susheel Aakulu

Data and Insights Analyst

CARE Australia, Melbourne

• Performed systematic investigation and analysis to visualize donor data, created and maintained dashboards and reports.
• Optimise, design, and execute continuous process improvements for data generation, management, and usage to drive strategic decision making.
• Ensure the integrity of data with regular cleaning & analysis, recommending and implementing initiatives to increase ongoing accuracy of all master data records and other ad hoc duties.

Data Analyst

ZALA Group, Sydney

• Performed Exploratory Analysis to glean actionable insights and support the in-market campaign optimization.
• Analyzed scenarios and assisted in developing, measuring marketing stimuli test results in collaboration with brand planning, media, and technology teams to build robust marketing and advertising strategies and in-market programs.
• Assisted marketing team and agency partners to define, extract, and synthesize available data and shared results and insights with multiple verticals.

Business and Reporting Analyst

• Co-supervised and customized live database used in the entry, tracking, and analysis of participant activity and outcomes.
• Synergized with multiple verticals including business transfers, business processes, software requirements, billing system changes, online systems, and business information systems.
• Maximized customer-retention [attained 93% customer retention rate] and profitability by ensuring clients were on the most suitable plan based on their usage style via holistic customer expenditure analysis.

Sales and Revenue Dashboard

Advanced Finance Simulator

Driving Revenue Strategy Through “Market-Based Approach"- AusIMM

• Created persona segments using unsupervised machine learning techniques based on targeted factors
• Performed “Emotion detection Sentiment Analysis" to understand the emotions of the members by analyzing the in-bound mails to the company
• Ascertained the cost to serve an event and cost to serve a member by analyzing the behavior of various events

Risk Management by Classifying Customer as Credible or Non-credible

• Developed a classification model to review whether there would be default payment or not and whether the customer would be credible or not. [Customers Default Payments Data - Taiwan, UCI machine learning]
• Implemented K-Nearest Neighbours and Decision Tree Classifier for data with over 30000 instances and 22 attributes
• Achieved a model accuracy of 76% with good Precision and recall rates, corresponding to all other models with the K-Nearest Neighbours Classifier

Predicting Global Temperature

• Forecasted the global temperature level based on best predictor variable [Carbon Dioxide emission and Sea level rise]
• Performed various tests such as ADF, Unit root, X-12 ARIMA, STL Decomposition for the data
• Implemented Distributive Lag models, Exponential smoothing models, Holt-Winters various Methods and State Space Models
• State Space Model was found to be the most consistent model to forecast the temperature considering AIC, BIC, and MASE scores

Revenue Prediction in Online Advertising

• Predicted the value of revenue metric for Google's online advertising platform
• Implemented Liner-regression model with Recursive feature elimination, Random forest regressor model, and Ridge regressor model
• Achieved a model accuracy of 86% [least MASE score analyzing model precision], corresponding to all other models with the Random forest regressor model

United States unemployment statistics before and after Trump Government

• Geographic Data Visualization
• Comparison of Unemployment statistics of the United States before and after Trump's regime and ascertain if Trump's Government is better at providing employment opportunities
• Tools used for Visualisation - R

Stability after the Hand-over? One country, Two Systems ~ Hong Kong - China

• Has “one country, two systems” been a success for Hong Kong?
• Twenty years after passing back into Chinese hands, the territory’s special status is under threat
• This project deals with Interactive storytelling for the above scenario by creating a Dashboard on R and publishing it on R-pubs

Analysis of Australian Financial Data

• This project is an exploration of the financial details of Australian residents at the time of 2014
• The dataset comprises answers to different questions, for example, education, monthly income, account details, and so forth. In this investigation, we will attempt and draw a connection between a few factors, such as education and monthly salary
• Also, we check if there is any difference in the borrowing and saving habits of Australians based on education level. I expect a positive correlation between savings, borrowings, and level of Education

Analysis of Victorian Mishaps

• This project aims to summarize pedestrian’s involvement in a different type of accidents
• Simple and effective "Pivot tables" and “Sumifs” functions are used to have a clear view of and provide reasoning for the different factors affecting pedestrian’s involvement in accidents

Prediction of Industrial Turnover - Victoria, Australia

• This report aims to deal with accessing the best model of fit for the dataset, either an ARIMA, SARIMA, or REGRESSIVE model using industry-standard techniques thought in the course and to predict 10 Time units for the chosen data
•This report includes a comprehensive analysis including descriptive analysis, visualizations, model specification, model fitting and selection, and diagnostic checking for the data for prediction of 10-time units

Data @ ANZ Program

• Performed Exploratory Data Analysis: Segmenting the dataset and drew unique insights, including visualization of the transaction volume and assessed the effect of outliers
• Performed Predictive Analytics: Explored correlations between customer attributes, built a regression and decision-tree prediction model based on findings

Data Analytics Consulting Virtual Internship

• Data Quality Assessment: Identified the data quality issues and strategies to mitigate issues
• Data Insights: Targeted high-value customers based on customer demographics and attributes
• Data Insights and Presentation: Using visualizations to present insights (Tableau)

Careers in Tech Program

• Data Science & Analytics: Ethics in Data Analytics, Build Successful Business Models
• Basics of AI: Overview of AI Chatbot, Implementation of Social Robotics
• Software Engineering: Website Coding, Introduction to Software Engineering & Mythbusting

Digital Technology Data Analytics Program

• Data Engineering: Used data engineering techniques to combine full-flight engine data, part manufacturing data, airport location data to determine the distance traveled for each airplane
• Data Visualization: Created a run chart and KPI (key performance indicators) tables based on simulated Aviation data

Data Analytics Virtual Experience Program

• Data preparation and customer analytics: Conducted analysis on client's transaction dataset and identified customer purchasing behaviors and provided commercial recommendations
• Experimentation and uplift testing: identified benchmark stores that allowed to test the impact of the trial store layouts on customer sales
• Analytics and commercial application: Provided insights to prepare a report for the client, Category Manager

Go-To-Market: Asia Virtual Experience Program

• Business Foundation Skills: Learnt Microsoft’s Key values, such as Respect, Integrity, and Accountability
• Work Ready Skills: Understood importance of personal branding and Learnt to manage time and identified priorities more effectively
• Technical GTM Skills: Understood the core concepts of Cloud Computing to support businesses in leveraging it to meet business challenges

Engineering Virtual Program

• Crack leaked password database: Analyzed results and proposed uplifts to controls and policies

• Mentoring Excellence - Royal Melbourne Institute of Technology
Received Mentoring Excellence award for Academic Peer Mentoring from the Royal Melbourne Institute of Technology

• Bronze level certificate of Recognition - Royal Melbourne Institute of Technology
Received Bronze level certificate of Recognition for Academic Peer Mentoring from the Royal Melbourne Institute of Technology

• 100 $ Gift Card - Australasian Institute of Mining and Metallurgy
100$ gift coupon for the best performance in assisting the company with Digital Transformation at the Australasian Institute of Mining and Metallurgy during my internship
[A company officially incorporated by Royal Charter received from the Duke of Edinburgh and granted by Queen Elizabeth II]

• International Standard of ABACUS Mental Arithmetic Proficiency Exam - The Malaysia Books of Records
Passed and secured distinction in the ABACUS Mental Arithmetic Proficiency Exam

• Student Learning Advisory Mentor (SLAMs) - Royal Melbourne Institute of Technology
Academic mentor at RMIT university for subjects “Data wrangling” and “Applied Analytics with R”

• PowerBI Tutor- Academi - SK Deeptech Pvt Ltd
Academic tutor at Academi - SK Deeptech Pvt Ltd for subjects “Analytics” and “Business Intelligence with PowerBI”

• Guest Speaker - RMIT Vietnam
I was one of the three guest speakers for the Webinar "Career Conversions: Business Intelligence" by RMIT University Vietnam

• Career Mentor - RMIT University Singapore, RMIT Asia and RMIT University Melbourne
Career Mentor for RMIT Melbourne, Aisa and Singapore in assisting students for better career outcomes

• Student Staff Consultative Committee (SSCC)- Royal Melbourne Institute of Technology
Student Staff Committee member to assist course coordinators in improving the course structure and reciprocate on behalf of students