Sundaram Srinivasan
Chennai,India
Summary
Seeking an entry-level Data Analyst position to apply my knowledge of data analysis, statistical modeling, and data visualization. Eager to contribute to an organization’s data strategy while continuing to learn and expand my technical expertise in SQL, Python, and machine learning.
Overview
3
3
years of professional experience
Work History
Data Science Consultant
Rubixe-AI Solutions
06.2024 - 09.2024
- Client Project: ITSM Incident Management Description: Focused on optimizing incident management processes within IT service management, aiming to improve response times and resolution efficiency for IT incidents
- Contribution: Analysed incident data, identified patterns and trends through exploratory data analysis, and developed predictive models to forecast incident volumes and improve resource allocation
- Project: House Price Prediction Description: Predict the final price of residential homes in Ames, Iowa, using 79 explanatory variables
- Contribution: Understood the problem statement, performed data preprocessing and feature engineering, and built models using various algorithms
- Project: JohnsHopkinsCovid19 Description: Analyzed daily cumulative totals of confirmed cases, deaths, and recoveries during the COVID-19 pandemic, focusing on daily increments for better insights
- Contribution: Cleaned the data, conducted exploratory data analysis, and created predictive models using the ARIMA model in time series forecasting to optimize AIC values
- Project: Flight Fare Prediction Description: Developed machine learning models to forecast airfare prices, aiding travelers in booking decisions and assisting airlines in pricing strategies
- Contribution: Transformed various data types into numerical columns through cleaning and pre-processing, performed exploratory data analysis and feature engineering, and applied regression algorithms for predictions
- Project: MNIST Dataset Description: The MNIST dataset consists of 70,000 handwritten digit images, commonly used for training various image processing systems
- The challenge is to classify these digits accurately
- Contribution: Preprocessed the data, performed exploratory data analysis, and implemented various machine learning and deep learning models (e.g., CNNs) to enhance digit classification accuracy
Accounts Payable
Standard Chartered
12.2022 - 09.2023
- Joined as Accounting control team member in a team of 20 members
- Main objective of the job is to process the invoices received from controllers and sending it to payment
- Supported in indexing the received invoices in the system (Oracle)
- Processed around 150- 200 invoices per day in Oracle
- SPOC for 25 countries invoices & backup resource for 2 countries of Invoice Processing
- Audited the invoices processed by team members
- Tracking the status of the invoices received everyday and shared the report to the TL at the end of the day
- Supported all areas of responsibility whenever needed which also includes R2P (even in Weekends)
- Processed invoices with 100% Quality
- Maintaining good rapport with controllers
Accounts Payable
EIPP Solutions
04.2021 - 10.2022
- Joined as Associate trainee for accounts payable process
- Main objective of the process is Processing payment invoices and releasing the payments to the Vendors of Cogir – Canada based company
- Uploading of Invoices in TCG – (Daily activity)
- Communicating problems to the Client and getting solutions regarding the issues
- Validating credit, statement and invoice documents
- Evaluating PO, Non PO and taxes
- Maintaining own production report every day
- Promoted to Senior Associate in April 2022
- Auditing invoices of junior resources
- SLA has been consistently maintained without any flaws
- Processed high volume of invoices on requirement
- Supported all areas of responsibility within a 7 members Invoice processing team
Education
B.COM - Corporate Secretaryship
TMG College of Arts and Science Madras University
01.2019
MBA - Finance Management
University of Madras
01.2024
Skills
- Time Series ForeCasting
- XGBoost
- Linear Regression
- Decision Trees
- Deep Learning
- Convolutional Neural Networks
- Data Preprocess
- Feature Engineering
- Data Cleaning
- MY SQL
- Tableau
- Power BI
- Python
- Tally ERP 9
- Basic MS Office
- Accounts payable management
- Python programming
Accomplishments
- Key player in cultural activities.
- Sports Person, Cricketer.
- Award winner in Ad-zap, Cricket, Drama etc.
Disclaimer
I do hereby declare that the information furnished above is true to the best of my knowledge.
Timeline
Data Science Consultant
Rubixe-AI Solutions
06.2024 - 09.2024
Accounts Payable
Standard Chartered
12.2022 - 09.2023
Accounts Payable
EIPP Solutions
04.2021 - 10.2022
MBA - Finance Management
University of Madras
B.COM - Corporate Secretaryship
TMG College of Arts and Science Madras University
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