Headline

Forecasting Analyst | 3 yrs in IT & Analytics Consulting sector with focus on Data Analytics | Future Senior Data Analyst

About

Forecasting Analyst with 3 years of experience across IT, analytics consulting, and technology. Expertise in BI, AI-driven analytics, and customer operations. Targeting a Senior Analytics role focused on profitability and business impact. Drove 90% reduction in analysis turnaround by deploying real-time, AI-powered dashboards and narratives enabling rapid KPI driver analysis (call volumes, call reasons, AHT) using Streamlit, Gemini AI, SQL, and Python. Reduced forecasting timelines by 90% by architecting a scalable, multi-LOB forecasting system with RMSE-based auto model selection and actionable Python-driven insights. Established data governance and standardization frameworks supporting consistent, trusted decision-making using Python. Specialties: Data Analysis, Data Analytics, SQL, Excel, Power BI, Tableau, Looker, Python,Gemini, Claude, Forecasting, BI, Data Visualization, Strategic Insights, Statistics. Looking for an amazing Senior Data Analyst? Reach me at rajatks1997@gmail.com

Location

Bengaluru

AI stack

claude code

claude

gemini

ChatGPT

Work experience

Lead Data Scientist at IntouchCX, Aug 2026 - Present · 2 mo, Remote

Forecasting Analyst at IntouchCX, Jul 2024 - Aug 2026 · 2 y 1 mo, Greater Bengaluru Area, Customer Care Insights Automation with AI Impact & Outcome: Delivered end-to-end AI-driven analytics and automation for customer care operations, achieving a 90% reduction in analysis and forecasting turnaround time, improving forecast accuracy from 60% to 90%, and enabling faster, more confident business decisions across 20+ business units. What I Did: Built real-time AI-powered summaries, narratives, and dashboards to surface performance drivers instantly across key customer care KPIs such as call reasons, call volumes, and AHT. Automated call volume forecasting by business verticals using a scalable, multi-LOB, multi-model framework with RMSE-based auto model selection, delivering descriptive, diagnostic, and prescriptive insights. How I Did It: Applied first-principles reasoning to break complex analytical problems into bite-sized components and designed automated decision systems using Gemini AI, Streamlit, SQL, and Python. Engineered scalable BI workflows by automating reports, standardizing data pipelines, and resolving manual process inconsistencies. Business Intelligence & Governance: Reduced reporting TAT by 1 hour within one week by building a rule-based consolidation pipeline that generated standardized, analysis-ready datasets and real-time dashboards using Google Sheets, Looker Studio, and Python. Improved data accuracy to ~99% through automated validation rules and implemented data governance frameworks that strengthened data consistency, trust, and downstream insights for product, growth, and operations teams.

Data Analyst at Concentrix, Mar 2023 - Jun 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, Improved forecasting accuracy from 70% to 90% by building a self-serve forecasting platform that translated complex problems into intuitive, decision-ready simulations for non-technical users using data analytics and data visualization tools like Streamlit and Python. Reduced onboarding issues by 25% in one month by leading UAT execution of diagnosing situations, framing root causes, producing clear recommendations, and influencing leadership decisions using data analytics and data visualization tools like Excel, PowerPoint, SQL, and Python. Engineered automated pipelines hourly data refresh that saved time for analysts to generate dashboards and drive actionable insights using data analytics tools like Power BI, Python and SQL.

Analytics Engineer at Great Learning, Jun 2022 - Sep 2022 · 4 mos, Bengaluru, Karnataka, India, ● Utilized Python and SQL to analyze guest data health and product OKRs, creating clear reports and dashboards in Tableau for stakeholders. ● Implemented A/B testing on webpages using Python and SQL, with results visualized in Tableau for optimized business decisions. ● Supported analytical platforms and business process design using Python, SQL, and Metabase for streamlined performance and issue resolution. ● Developed and maintained a data dictionary and business glossary for guest data and end-to-end data flows using Python and SQL. ● Employed data mining techniques in Python and SQL to create logistics and clustering data models, visualized in Tableau for actionable insights.

Education

M.Tech, Data Science and Machine Learning, PES University

BE - Bachelor of Engineering, Mechanical Engineering, KS Institute Of Technology