SIDDHARTH SHARMA
Melbourne,VIC
Summary
Siddharth is a motivated data scientist with a post graduation in Data Science with excellent analytical, written, and presentation skills seeks a challenging and engaging opportunity. Siddharth recently won the Deloitte LLM National Hackathon which was recognized across the firm.
Sid has over 5 years of client facing work experience with delivery of Advanced Voice Analytics, Machine Learning, AWS, Internet of Things (IOT) and Machine Learning solutions that helped increase client revenues.
Sid is a self-driven individual who can clearly and concisely define complex business requirements and convey technical details to team members and senior management.
Overview
7
7
years of professional experience
Work History
Analyst
Deloitte Australia
11.2021 - Current
- Spearheaded a team of developers in the creation of an advanced LLM chatbot utilizing Open AI models (ADA, Davinci). This bot efficiently processes APRA regulations, enabling seamless queries for line 1 and 2 agents. Resultantly, we achieved a remarkable time reduction of at least 50%.
- Employed NLP models on AWS Sagemaker, Redshift, and S3 to analyze and comprehend over 25,000 complaints and incident registers for a prominent Big 4 Bank. This critical initiative formed part of the bank's remediation process, ensuring comprehensive assessment and resolution
- Leveraged LLMs by ingesting Product Disclosure Statements (PDS) to validate the accuracy of service rates offered to customers, guaranteeing compliance and regulatory adherence.
- Developed Python-based exploratory code to conduct in-depth analysis on Interests, Margins, and Fees pertaining to both Offset and Non-offset accounts for an Australian Bank. The insights derived from this analysis facilitated informed decision-making processes.
- Proficiently collected, cleansed, and analyzed data using Python and SQL, allowing for the identification of emerging trends and valuable insights.
- Created interactive dashboards and reports employing tools such as Power BI and Tableau, aiding stakeholders in effectively comprehending complex data and making informed business decisions.
Sessional Tutor, Faculty of IT
Monash University
07.2021 - 10.2021
- Industrial Experience (FIT 3048, Responsible for mentoring the students to meet the client’s requirements, ensuring the code quality meets the industry standards
- Responsible for monitoring student performance on various technological stack that includes Data Analysis, Web Development, SQL, and JavaScript Frameworks.
DATA ANALYST
Work Made Simple
12.2020 - 10.2021
- Led a team to generate the course of action in the Data Science journey of client to provide valuable business and financial insights that enabled executives and clients to make important decisions, this assisted the clients to anticipate the upcoming status of business using predictive analysis
- Extensive use of Python, R Programming, SQL, SAS and Excel for Data Cleaning Wrangling and Statistical Analysis
- Used Power BI, Qlik with Dynamics 365 to create insightful Dashboards for clients, data modelling being done using DAX
- Worked on Data gathering using ETL methodologies from SQL/NO SQL Databases / Data Warehouses/ AWS Stack
- Build, Optimized and Automated the Data Pipeline for the client
- Extensive analysis and insight solutions, processing current business intelligence to derive recommendations using Deep Learning, Machine Learning algorithms to further recommend the management for determining their course of action with regards to different business use cases.
TECHNICAL HEAD
Ipsuma Media Services
10.2018 - 05.2019
- Implemented Proof of Concept for Securing Digital Certification Data on Blockchain in compliance with GDPR
- Responsible for monitoring performance, functional and technical requirements using AWS CloudWatch
- Implemented Aadhaar Aadhaar (Unique Identification of Indian Citizens) Data verification on Blockchain using Hyperledger fabric to ensure personal information security of personal information is not breached
- Solved client related SEO / SMO queries based on Google Analytics traffic reports
- Performed data mining using BeautifulSoup for market research and mentored development team on how to meet the company's development standards
- Introduced latest JS frameworks (React.js, Node.js), helping the company stay updated with the best solutions
- Led the mobile app development team to ensure the client expectations are met
- Provided recommendations and technical insights to leadership for selecting leading edge development tools and platforms which improved the company's ratio of winning projects
- Managed the Market Research team to grow business opportunities.
WEB DEVELOPER
SME Metrix
06.2017 - 10.2018
- Applied best practices for software development and implemented cloud-based solutions using AWS S3
- Gathered requirements and defined specifications to address client technical needs
- Constantly researched emerging technologies and industry trends that could be applied to enhance the company's operations and activities
- Worked closely with the visual web designers and backend data teams to ensure that the visual design, data accuracy and technical performance were met.
Education
Master Of Data Science -
MONASH UNIVERSITY
Melbourne, VIC07.2021
Bachelor Of Engineering - Computer Science
OSMANIA UNIVERSITY
India07.2018
Skills
- Large Language Models (Open AI, Hugging Face, Falcon 7B)
- Power BI extensive use of DAX
- Python, R programming
- Tableau
- DevOps (CI / CD)
- AWS Stack (EC2, Lambda, S3)
- Data Warehouses (Redshift)
- Predictive Data Analytics
- Data Visualization (Dashboards)
- Natural Language Processing
- Machine Learning
- JavaScript
- Agile Methodology
- Big Data using PySpark & Hadoop
- SQL
Accomplishments
- Declared joint winner at Deloitte Australia LLM Hackathon 2023
- Declared Winner at Monash University Expo-2021, Australia for developing a voting-based product that helps in identifying the bias in everyday news for Australians
- Secured 1st position for Developing a Proof of Concept for National Highway Authority of India to automate the roadway payments and challan system using IOT, (RFID) technology on automobiles
- Secured 1st position for Developing an E-Commerce app for elderly in MJ-Hackathon 2017
- The app recommends the products based on elderly needs with the help of simple UI/UX solutions.
Timeline
Analyst
Deloitte Australia
11.2021 - Current
Sessional Tutor, Faculty of IT
Monash University
07.2021 - 10.2021
DATA ANALYST
Work Made Simple
12.2020 - 10.2021
TECHNICAL HEAD
Ipsuma Media Services
10.2018 - 05.2019
WEB DEVELOPER
SME Metrix
06.2017 - 10.2018
Master Of Data Science -
MONASH UNIVERSITY
Bachelor Of Engineering - Computer Science
OSMANIA UNIVERSITY
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