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abinash kumarAK
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abinash kumar

@abinashkumar2

I coordinate AI analytics delivery and turn data into client-ready insights.

India
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What I'm looking for

I'm looking for opportunities where I can coordinate cross-functional teams, work closely with clients, and apply business analytics to improve delivery, product decisions, and customer outcomes.

At ParallelDots, I coordinated end-to-end client onboarding for AI-driven retail analytics projects, helping clients adopt solutions smoothly and receive deliverables on time.

I worked across product, engineering, data science, and operations teams to deliver complex client requirements. I also managed change requests while maintaining data quality, reporting accuracy, reliability, and operational consistency.

Previously, at CORIZO, I generated 200+ leads through LinkedIn, email campaigns, and cold outreach, converting outreach into demo calls. I created 20+ client pitch presentations, conducted market research, and managed daily pipeline follow-ups and client meetings.

Through my MBA in Business Analytics and projects at IIM Amritsar, I’ve built experience in business modelling, forecasting, predictive modelling, and platform strategy. I enjoy using SQL, Python, R Studio, Tableau, and Excel to support clear business decisions.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Indian Institute of Management, Amritsar logoIA

Indian Institute of Management, Amritsar

Master of Business Administration, Business Analytics

2023 - 2025

Grade: 70%

Pursued an MBA in Business Analytics, achieving 70%.

GM

GL Bajaj Institute of Management

Bachelor of Business Administration, General Management

2019 - 2022

Grade: 65%

Completed a BBA in General Management with 65%.

BS

Bal Mandir Sr Sec

Higher Secondary Certificate, General Studies

Grade: 67%

Completed Class 12 under CBSE with 67%.

SN

Sainik School Punglwa Nagaland

Secondary School Certificate, General Studies

Grade: 8.4/10

Completed Class 10 under CBSE with a score of 8.4/10.

Tech stack

Software and tools used professionally

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