Jan 2025 – Aug 2025 · 7 mos · Sydney, New South Wales, Australia · Hybrid

• Integrated 1,000+ multi-source client records using advanced SQL (JOINs, CTEs, subqueries), establishing a single source of truth across CRM and Power BI systems; improved placement tracking accuracy by 25% and reduced reporting discrepancies by 35%.
• Strengthened data governance across 10,000+ raw sales and recruitment records using advanced Excel QA automation (PivotTables, validation rules, macros), eliminating 300+ duplicates and 15% missing fields; improved reporting accuracy by 30%, reduced reporting risk, and enabled reliable cross-functional performance decision-making.
• Directed migration of 1,000+ client records into Monday.com CRM, architecting automated workflows and validation logic; standardised operations, reduced manual processing by 35%, improved data integrity, and enhanced placement lifecycle visibility across teams.
• Increased sales forecast accuracy by 85% through Python-based predictive modelling (Linear Regression, Random Forest), enabling proactive revenue planning, optimising marketing investment allocation by 20%, and reducing budget variance by 30% to drive measurable business growth.
• Designed and delivered 20+ automated Power BI dashboards providing advanced customer segmentation and retention analytics, enabling data-driven marketing strategies targeting high-value segments; improved campaign effectiveness by 25%, strengthened revenue retention visibility, and reduced reporting turnaround time by 30%.

Jul 2023 – Nov 2024 · 1 yr 4 mos · Sydney, New South Wales, Australia · On-site

• Led 12+ video-based travel time surveys spanning 15,000+ kms, conducting 7+ hours of daily route operations to capture accurate journey time data and deliver validated traffic datasets for government and private sector clients.
• Supervised a team of 10 manual surveyors across 4 major public transport surveys in Sydney CBD, processing 4,000+ commuter data points and achieving 95%+ quality accuracy in final project submissions.
• Produced structured survey documentation and stakeholder-ready reporting packs, detailing methodology, data validation processes, and compliance standards to support transport planning and infrastructure assessments.
• Designed and maintained advanced Excel data frameworks (validated templates, timestamp controls, structured logs) to manage high-volume survey entries, ensuring data integrity, consistency, and on-time project delivery.

Feb 2023 – Jun 2023 · 4 mos · Wollongong, New South Wales, Australia · On-site

• Assisted in organising campus events and wellness activities, including workshops, sports, and sustainability initiatives, enhancing student engagement.
• Developed skills in teamwork, leadership, and communication through collaboration on projects such as UniBar events and peer support programmes.
• Earned UOWx recognition by completing over 20 hours of volunteering, contributing to community
• development and social change efforts.

Nov 2020 – Feb 2023 · 2 yrs 3 mos · Hyderabad, Telangana, India · On-site

• Partnered with board leadership to architect enterprise-grade Excel data infrastructure and financial models, standardising sales, customer, and vendor analytics; achieved 100% data completeness, improved contract margin visibility by 25%, and enabled data-driven pricing, bid strategy, and profitability control across government and FMCG projects.
• Engineered multi-source datasets into a unified operational analytics framework using Advanced Excel (data validation, Power Query, structured modelling), standardising 10,000+ records; delivered analysis-ready data across 6 contracts and 3 vendors, improving pricing accuracy and procurement reliability.
• Managed and optimised SQL databases using advanced queries (JOINs, CTEs, subqueries, window functions) to build a high-performance analytics layer; reduced processing time by 30% and accelerated revenue and contract decisions by 25% through real-time Power BI insights.
• Used Python (Pandas) to conduct predictive analytics on sales and credit data, uncovering seasonal and
• client-specific patterns; built a 120-day credit model that boosted retention by 70% and improved revenue
• forecasts by 85%.
• Created process documentation, business intelligence reports, and SOPs to scale internal workflows, integrating insights from CRM, logistics, and finance systems supporting the company’s growth to 1.4M AUD revenue in under 2 years.

May 2019 – Nov 2020 · 1 yr 6 mos · India · On-site

• Served as Single Point of Contact for 30+ quality associates within the POD (Photo on Delivery) tool team, overseeing daily operations and coordinating with Last Mile Tech and Science teams to monitor programme metrics and drive data quality improvements.
• Spearheaded the transition of Excel-based productivity tracking to an AWS analytics framework by developing 40+ QuickSight dashboards and Redshift queries, reducing manual reporting effort by 50%; solution adopted across 4 LMAQ teams (500+ associates), standardising data-driven decision-making.
• Directed internal quality assurance for the manual audit team, analysing weekly audit samples to detect error trends; implemented structured training programmes that reduced audit errors by 25% and increased team accuracy from 96% to 99%.
• Conducted large-scale SQL analysis on 2M+ POD delivery records to uncover ML rejection pattern biases and false positives; engineered scalable QA scripts using window functions and collaborated with engineering teams to retrain the model, improving automated approval accuracy and reducing manual audit volume by 20%.

Aug 2018 – Jan 2019 · 5 mos · Hyderabad, Telangana, India

• Conducted comprehensive data analysis to inform media planning strategies for campaigns up to 100k.
• Analyzed campaign metrics and KPIs across teams to deliver actionable optimization insights.
• Designed comprehensive multi-channel advertising reporting frameworks that drove data-based campaign decisions.