Kavitha

Top Scholar@ElevateIQ University

No-code Developer

Top Scholar

Brand Designer

Dog Lover

Score = 9/10

🏆 Top Scholar CAIA

🏆 Top Scholar

Score = 9/10

Results-driven professional with 3 years of experience in marketing, now transitioning into a Business Analyst role with a strong focus on data-driven decision making. Experienced in understanding customer behavior, campaign performance, and market trends to drive business growth. With a certification as a Certified AI Analyst (CAIA), I bring a blend of marketing intuition and analytical thinking, enabling me to translate business problems into actionable insights. Passionate about leveraging data, AI, and analytics to optimize business performance and deliver measurable impact.

Skills

Business & Analytical Skills

Requirement Gathering, Data Analysis, KPI Definition, Business Insights, Stakeholder Communication, Market Research, Problem Solving

AI & Tech Skills

SQL, Excel (Advanced), Power BI / Tableau, Prompt Engineering, Data Visualization, AI Tools for Analysis, Python

Case Studies

Case Study 1

Improve Campaign ROI for E-commerce Brand

Problem

Marketing campaigns are generating traffic but low conversion rates, leading to poor ROI.

Approach

  • Analyzed campaign funnel: Impressions → Clicks → Conversions

  • Segmented users based on demographics, behavior, and channel source

  • Identified drop-offs and underperforming channels

Solution

  • Implemented customer segmentation (high-intent vs low-intent users)

  • Optimized campaigns by focusing on high-performing channels

  • Introduced personalized ad creatives based on user segments

  • Conducted A/B testing on ad copies and landing pages

Impact

  • Increased conversion rate by +20%

  • Improved overall campaign ROI significantly

Key Metrics

Conversion Rate, Cost per Acquisition (CPA), ROI, Click-through Rate (CTR)

Case Study 2

Improve Website Funnel Conversion (D2C Brand)

Problem

High drop-offs in website funnel, especially at product page → checkout stage

Approach

  • Analyzed user journey using Google Analytics funnel data

  • Identified friction points in product page UX and checkout flow

Solution

  • Improved product page clarity (reviews, pricing transparency, trust badges)

  • Simplified checkout process (reduced steps, guest checkout option)

  • Added exit-intent offers (discount pop-ups)

  • Used AI-based recommendations for related products

Impact

  • Reduced funnel drop-off by ~25%

  • Increased overall website conversion rate

Key Metrics

Funnel Conversion Rate, Cart Abandonment Rate, Average Order Value (AOV)

Summary

About Me

I am a results-driven professional with 3 years of experience in marketing, now transitioning into a Business Analyst role with a strong focus on data and AI-driven decision making. My background in campaign analysis, customer behavior, and growth strategies has given me a solid understanding of how businesses scale and optimize performance. Through my journey into analytics, I have developed hands-on skills in data analysis, visualization, and machine learning basics using tools like Excel, SQL, Python, and Power BI. I enjoy working with data to uncover insights, solve business problems, and drive measurable outcomes. With a Certified AI Analyst (CAIA) foundation, I aim to bridge the gap between business strategy and data intelligence by building actionable insights that improve decision-making and business performance.

Training & Internship Highlights

1) Completed Certified AI Analyst (CAIA) program with hands-on training in analytics and AI tools

2) Worked on real-world business analytics projects focused on marketing performance and conversion optimization

3) Gained practical experience in data analysis using Excel, SQL, and Python (Pandas, NumPy)

4) Built interactive dashboards using Power BI to track KPIs and business performance

5) Applied machine learning (Scikit-learn, XGBoost) for predictive analysis use cases

6) Conducted data cleaning, transformation, and exploratory data analysis (EDA)

7) Used AI tools (Claude) for data interpretation, insight generation, and productivity

8) Practiced problem-solving using structured business analysis frameworks Managed and showcased projects using GitHub for version control

Kavitha

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