Sreedeep Ramesh

Data Scientist

Sydney, New South Wales, Australia5 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in transforming data into actionable insights.
Proven track record in developing automated reporting solutions.
Strong background in data quality analysis and visualization.

Stackforce AI infers this person is a Data Analytics professional with expertise in logistics and business intelligence.

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Skills

Core Skills

Data AnalyticsBusiness Intelligence

Other Skills

AuditingBusiness AnalysisChatbot DevelopmentDashboardData AnalysisData CleaningData Processing AutomationData Quality AnalysisData ScienceData VisualizationData WranglingDatabase Management System (DBMS)Digital MarketingEnglishExcel

About

I’m a Data Analyst at DHL with a Master’s degree in Business Analytics (Data Science) from Deakin University. I enjoy helping businesses make better decisions by turning data into clear, actionable insights. My experience includes working on data pipelines, creating dashboards in Power BI and Tableau, and building forecasting models. I’m skilled in SQL, Python, Excel, and R, and I regularly take part in Kaggle competitions to keep improving my data science and machine learning skills. I’m always open to connecting and discussing new opportunities in the analytics space. 📧 sreedeepramesh@gmail.com 📞 +61 416 443 454

Experience

Dhl supply chain

QA Data Analyst

Jun 2022 – Present · 3 yrs 9 mos · Sydney, New South Wales, Australia · On-site

Designed and developed automated dashboards and reports in Power BI, reducing manual reporting time by 30+ hours monthly and improving operational transparency.
Built and maintained SQL queries to extract, clean, and analyze data from enterprise systems, enabling real-time performance monitoring and KPI tracking.
Developed a Power Automate workflow to deliver weekly weather forecasts to the QA team, enabling efficient planning for temperature mapping validation.
Conducted Quality Assurance validations and data analysis of DHL assets.
Delivered insightful analytics and root cause analysis on quality and compliance data, contributing to risk mitigation and continuous improvement initiatives.
Applied Python and VBA to automate internal reporting and audit processes, enhancing both accuracy and
efficiency.
Ensured data integrity through robust QA validation protocols and proactive quality checks aligned with internal compliance standards.
Collaborated with cross-functional teams to gather reporting needs and deliver custom Power BI dashboards tailored to operational and compliance requirements.
Produced user-friendly documentation and led training sessions to promote adoption of self-service analytics across teams.
Delivered regular reporting packages with root cause insights, corrective action tracking, and performance
commentary for senior stakeholders.
Chat-based AI agent development, integrated with SharePoint and Microsoft Copilot, deployed via Teams, to support our QA team to answer protocols, work instructions, and training documents related natural language queries.
Developed a Power Automate workflow to deliver weekly weather forecasts to the QA team, enabling efficient planning for temperature mapping validation.
Technologies: Power Automate, Power BI, SQL, Python, VBA, Excel, SharePoint, Visio.

Power BISQLPythonVBAExcelSharePoint+2

Acs (australian computer society)

Database Developer Intern

Nov 2021 – Mar 2022 · 4 mos · Melbourne, Victoria, Australia

Collected and analysed user interaction data to identify patterns that improved lead generation and business–customer engagement.
Supported lead qualification by designing workflows that reduced manual effort and enhanced targeting efficiency.
Developed a rule-based chatbot to improve user interaction, increase engagement time, and automate initial contact through structured conversation flows.

Data AnalysisChatbot DevelopmentData Analytics

Kpmg australia

Data Analyst

Aug 2019 – Oct 2019 · 2 mos · Melbourne, Victoria, Australia

Investigated data quality issues in customer records and proposed actionable mitigation strategies to enhance reporting accuracy.
Conducted customer segmentation based on demographics and behavioral attributes, identifying high-value targets for marketing initiatives.
Extracted insights from cleaned datasets and presented findings using interactive Tableau dashboards, enabling better stakeholder decision-makings.
Technologies: Tableau, Excel

TableauData Quality AnalysisData Analytics

Shriram transport finance company limited

Sr. Data Analyst

Dec 2016 – Mar 2018 · 1 yr 3 mos · Kerala, India

Responsibilities
Need and requirement collection to build report/dashboards to resolve business problem.
Formulation of plan of action, roadmaps and communication to team members.
Creation, testing and reporting of KPI dashboards that align with business requirements by regular interactions with senior executives and other stakeholders.
Make sure the report/dashboards solve the business problem addressed.
Strategize modelling and performance visualization of all branch offices across Kerala state, India.
Develop system processes to automate data processing (ETL pipeline) for seamless report generation.
Analyze business trends of each branch offices and develop operational auditing reports to higher authorities by close discussion with various business functional units.
Achievements
Formulated Customer segmentation for granting child loans and other non-secure loans to existing live loan account customers.
Researched and optimized ‘Non-Performing Asset’ assessment methodology to improve returns on it.
Designed and maintained customer tracking interactive dashboards for ‘Seized and Sold’ and ‘Matured Loan’ accounts.
Implemented branch office performance dashboard on ‘Non-starter’ loan accounts.
Mentored 12 new employees and guided throughout their probationary period.
Secured 2nd position in the post training quiz program held at Chennai, India on 23rd December 2016.