Kshitij Karan

Digital Marketing Specialist

New York, New York, United States4 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in data analysis and statistical methodologies.
Proven track record in driving revenue growth through analytics.
Skilled in machine learning and data visualization technologies.

Stackforce AI infers this person is a Data Science professional with expertise in MarTech and Healthcare analytics.

Contact

kshitij.karan@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine LearningData AnalysisData VisualizationBusiness Analysis

Other Skills

ANSYSARIMAAWS AthenaAbaqusAlgorithmsAmazon AthenaAmazon Web Services (AWS)AnalyticsAutoCADC++CRMCollaborationComputer ScienceComputer-Aided Design (CAD)Customer Relationship Management (CRM)

About

As a Master of Science in Business Analytics graduate from UC Davis, I possess a strong foundation in data analysis and a deep understanding of statistical methodologies. My expertise includes exploratory data analysis, data visualization, supervised machine learning, experimental design and analysis, A/B testing, web scraping, and statistical analysis. I am highly skilled in utilizing technologies such as R, SQL, Python, Tableau, PySpark, and AWS to derive insights and make informed decisions. Feel free to reach out to me at kshitij.karan@gmail.com for collaboration opportunities or to discuss data-driven solutions.

Experience

4 yrs 5 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 5 mos

Current Experience

Taylor & francis group

Marketing Analyst

Jan 2024 – Present · 2 yrs 5 mos · New York, New York, United States

Sprighub

Data Scientist

Jan 2022 – Jan 2023 · 1 yr · San Francisco Bay Area

As part of the MSBA practicum project, engaged with marketing analytics startup C-Suite to build a machine-learning-based attribution model and marketing spend optimizer tool.
Preprocessed and cleaned Google Analytics data sets with over 35M rows using SQL, addressed class imbalance of 99% using SMOTE sampling technique.
Drove 20% expected revenue growth through Marketing Mix Modeling & Optimization for optimal weekly budget allocation across 32 marketing campaigns for a digital storage device manufacturer.
Reduced conversion misattribution by 10% by building a scalable XG Boost time decay attribution model for credting monthly subscriptions.
Preprocessed and cleaned Google Analytics data using AWS Athena capturing user ad-journey for an event hosting platform with 5M users over 3 months.

SQLMachine LearningMarketing Mix ModelingData AnalysisAWS AthenaData Science

Iqvia

Analyst

Jan 2021 – Jan 2022 · 1 yr

Recovered $240K in misclassified commercial drug sales by analyzing internal databases of historical data using SQL and Excel.
Developed and maintained leadership-facing Tableau dashboards, enabling real-time monitoring of finance and sales performance across 38 territories.
Developed forecasting models for weekly, monthly, and quarterly KPIs like Enrollments, Pharmacy and Distributor drug sales by using ARIMA technique.
Conducted Ad-Hoc analysis on CRM data from Salesforce and Veeva related to drug marketing, speaker events by Clinical Specialists (CS) and Clinical Nurse Educators (CNEs).

SQLExcelTableauARIMACRMData Analysis+1

Quantiphi

Business Analyst

Jan 2021 – Jan 2021 · 0 mo

Played an integral role in a high-performing Go-To-Market team, securing $250k in new sales while reporting directly to the Director of Healthcare.
Collaborated with internal technical team to design and implement patient-no-show model, reducing no show rate by 10%.
Facilitated cross departmental meetings to address challenges and identified ML opportunities for new and existing clients.

Machine LearningData AnalysisCollaborationBusiness Analysis