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Ritika Bansal

@ritikabansal1

I turn SQL, Power BI, and Excel analysis into risk, merchant, and sales recommendations.

India
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What I'm looking for

I'm looking to apply SQL, Power BI, Excel, and growing Python skills to analytics work involving dashboards, risk or business insights, and stakeholder-ready recommendations.

I've built SQL, Power BI, and Excel analyses across card offers, merchant engagement, credit risk, and laptop sales, turning raw data into stakeholder-ready recommendations.

In a card offers and merchant engagement project, I built a four-table SQL database and found that high-spend, high-engagement members generated around 8x higher average spend. I also identified that medium-value discounts drove roughly 36% more redemptions per offer than high-value discounts.

At Synør Labs, I coordinated content strategy and digital assets for a major event reaching 1,000+ registrants, while managing a calendar across three platforms. I also developed an interactive Power BI sales dashboard and contributed to a risk-tiered AI collections strategy through the Tata Group x Forage job simulation.

Experience

Work history, roles, and key accomplishments

SL

Design & Content Associate

Synør Labs

Jun 2026 - Aug 2026 (2 months)

Coordinated content strategy and digital assets for a major event, supporting outreach to 1,000+ registrants, and managed a content calendar across 3+ platforms while collaborating with founders on branding decisions.

Education

Degrees, certifications, and relevant coursework

SU

SCD Government College (Panjab University)

Master of Arts, Economics

2024 -

Grade: 72.4%

Pursuing a Master of Arts in Economics with a current aggregate of 72.4%.

GU

Government College for Girls (Panjab University)

Bachelor of Arts (Hons.), Economics

2021 - 2024

Grade: 75.29%

Completed Bachelor of Arts (Hons.) in Economics with 75.29% marks, achieving First Division.

BC

Blossoms Convent School (CBSE)

Class XII, General Studies

2020 - 2021

Grade: 94.6%

Completed Class XII under CBSE with 94.6% marks, scoring 90+ in all subjects.

Tech stack

Software and tools used professionally

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