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Data Analyst with 1+ years in AI/ML Data Annotation & Analytics
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Assessing your cultural and operational fit
Laharika Bobbili is an aspiring Data Analyst with 1.3 years of experience across data annotation and junior data analysis roles. She holds an MSc in Data Science and a BSc in Mathematics, Electronics and Computer Science. Her expertise includes building AI/ML models, performing in-depth data analysis, and developing interactive data visualizations. She is proficient in Python, SQL, Tableau, and various machine learning frameworks, eager to apply her skills to complex data challenges.
St. Francis College For Women, Hyderabad
MSc in Data Science · Data Science
August 1, 2022 – June 30, 2024
St. Francis College For Women, Hyderabad
BSc in Mathematics, Electronics and Computer Science · Mathematics, Electronics and Computer Science
August 1, 2019 – June 30, 2022
Intellabel Pvt Ltd
Data Annotator
May 1, 2025 – Present
India
Wexdi Software Services Pvt Ltd
Jr. Data Analyst Intern
January 1, 2025 – March 1, 2025
India
Facial Emotion Detection
January 1, 2024 – March 1, 2024
Developed a real-time facial emotion detection system using CNN and OpenCV for analyzing webcam streams, images, and videos. Enabled emotion recognition, detecting happiness, sadness, anger, surprise, fear, and disgust from facial expressions.
Red Wine Quality Analysis
November 1, 2023 – January 1, 2024
Conducted in-depth analysis of a red wine quality dataset, building various classification and regression models. Evaluated model performance, identifying the highest accuracy and lowest MSE for optimal results.
Covid-19 in India Analysis
September 1, 2023 – October 1, 2023
Leveraged Tableau Public to conduct an in-depth analysis of COVID-19 trends in India, focusing on key metrics like cases, deaths, recoveries, and vaccination rates across different states. Created dynamic and interactive visualizations that tracked state-wise statistics for active cases, total deaths, recoveries, and vaccination progress, enabling users to explore trends and patterns.
Social Media Data Analytics
Coursera
June 1, 2026 – Present
Master Microsoft Power BI from Basics to Advance
Udemy
June 1, 2026 – Present
Big Data Analytics Workshop
Unknown
June 1, 2026 – Present
Chess Tournament Participant
Unknown
June 1, 2026 – Present
Event Organizer : Treasure Hunt
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a good breadth of data science applications, from computer vision to statistical analysis and data visualization. The internship as a Jr. Data Analyst aligns well with the target role, demonstrating an interest in practical data analysis and AI applications. The current Data Annotator role, while not directly analytical, indicates attention to detail and data quality, which are valuable traits. The certifications in Power BI and Social Media Data Analytics further support a proactive learning attitude. The candidate's diverse project portfolio and continuous learning indicate a good cultural fit for a dynamic data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work in a team environment through coordination with team members in the Data Annotator role. The RAG chatbot project shows initiative in building a functional application. Participation in organizing events suggests organizational skills. However, the current Data Annotator role is more operational than analytical, which might require a transition period for a Data Analyst role.