Uttkarsh Mutkure

Business Analyst

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Expert in data visualization and statistical analysis.
Proven track record in driving data-driven decisions.
Experience in financial risk and sentiment analysis projects.

Stackforce AI infers this person is a Data Analyst with expertise in E-commerce and Machine Learning.

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Skills

Core Skills

Data AnalysisData VisualizationMachine Learning

Other Skills

Ad Campaign Performance EvaluationAutomationCategorical Data EncodingData AnalyticsData ManipulationData MiningData PreprocessingExcelGoogle BigQueryGoogle SheetsIT Business AnalysisInsights GenerationJSON Data HandlingKerasMatplotlib

About

Data Analyst with experience in SQL, Python, Excel, and BI tools to extract insights and drive data-driven decisions. Skilled in data visualization, statistical analysis, and machine learning, I have worked on projects in financial risk, sentiment analysis, airline performance, and retail sales tracking. At Bewakoof (An Aditya Birla Venture), I contributed to traffic analysis, user retention tracking, and ad campaign performance evaluation. My expertise includes data warehousing, ETL processes, and tools like Power BI, Tableau, and Apache Spark.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Bewakoof®

Data Analyst

Sep 2024 – Mar 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

Provided key insights for Bewakoof’s Marketplace department, supporting financial, marketing, and sales decisions.
Built traffic funnel analysis to track user journey and drop-off rates, improving website conversion.
Developed in-transit and RTO order reports, identifying trends across courier partners, categories, and locations.
Extracted, manipulated, and analyzed data using SQL, Python, Excel, and Google Sheets.
Utilized QlikSense and Metabase for advanced analytics, visualization, and real-time reporting.
Led multiple projects end-to-end, from requirement gathering with stakeholders to final delivery and handover.
Analyzed user retention (MoM, YoY, WoW), new user trends, and AOV, segmenting data by platform, device, category, and region.
Evaluated ad campaign performance, measuring impact on sales, engagement, and conversions to optimize strategies.

SQLPythonExcelGoogle SheetsQlikSenseMetabase+5

Nullclass

Data Science Intern

Jan 2024 – Feb 2024 · 1 mo · Pune, Maharashtra, India · Remote

Creating an emotion detection model through machine learning involves training algorithms to recognize emotions based on visual cues such as facial expressions. This model has diverse applications, from enhancing user experiences to contributing insights in fields like psychology and human
interaction.