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Kirti Bohra

@kirtibohra

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I’m a data analyst who turns messy data into actionable insights with Python, SQL, and BI dashboards.

India

Message

What I'm looking for

I’m looking for an analytics role where I can build dashboards and predictive models, automate workflows, and turn data into clear, measurable business impact using Python, SQL, and BI tools.

I’m a B.Tech (CSE with Artificial Intelligence & Data Science) student and Data Analyst Intern who consolidates fragmented data into reliable, decision-ready views. In my internship, I consolidated 16,860+ rows of historical SMM data into a single Google Sheet and built dashboards that gave cross-functional visibility across Operations, Tech, HR, and Sales.

I also like building end-to-end analytics and lightweight tools—like my AI-assisted “Task Mind” app for workflow automation and task control as a solo contributor. My projects span customer LTV segmentation with K-Means, employee attrition survival analysis on 4,000+ records, and an internship recommendation app in Streamlit that improved search efficiency by 30% through smart filtering.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Maven Jobs

Jan 2026 - Apr 2026 (3 months)

Consolidated 16,860+ rows of historical SMM data into a single Google Sheet, replacing fragmented multi-sheet reporting for a current 2-person team. Built task allotment, feedback, and project tracking dashboards, and independently developed “Task Mind,” an AI-assisted project management app for workflow automation and task control.

Google Sheets Dashboarding Google Apps Script Data Consolidation Workflow Automation Project Tracking

Data Science Trainee

CodeSquadz

Jul 2024 - Aug 2024 (1 month)

Built an NLP-based spam detection model achieving 93% accuracy. Cleaned and prepared text data and trained a classification model for robust spam identification.

Natural Language Processing (NLP)Spam Detection Data Cleaning Model Training Model Evaluation Machine Learning

AI/ML Trainee

Imarticus Learning

Jul 2023 - Aug 2023 (1 month)

Developed predictive anomaly-detection models for healthcare process monitoring. Applied modeling techniques to identify deviations and support earlier risk detection.

Anomaly Detection predictive modeling Machine Learning Healthcare Analytics data preprocessing Model Evaluation Statistical Modeling

Data Analyst Intern

Trainity

May 2023 - Jul 2023 (2 months)

Conducted IMDB movies data analysis and built a car engine rate prediction model using regression. Focused on data cleaning, EDA, and predictive modeling to support model readiness and performance.

Data Analysis Regression Modeling Data Cleaning predictive modeling Statistical Analysis Python