Anjali Dhosariya
@anjalidhosariya
M.Tech AI & Data Science student skilled in ML, NLP, and data analytics.
What I'm looking for
I am an M.Tech (Dual Degree) candidate in Artificial Intelligence and Data Science with a strong academic record and hands-on experience in machine learning, NLP, and data analytics. I have qualified GATE (2025) and maintain a CGPA of 9.3 while delivering practical projects and internships.
During a Data Analyst internship at Sparsh Magic LLP, I automated data workflows using Google Apps Script, built interactive Power BI and Looker Studio dashboards, and performed data cleaning and transformation with Pandas to produce actionable insights for leadership.
My projects span full-stack Python applications, real-time sign-language translation, spam classification, and sales dashboards. Highlights include a news summarizer using Groq Llama with multilingual TTS, a MediaPipe + TensorFlow ASL translator achieving 92% accuracy, and a Streamlit spam classifier with 95% accuracy.
I am passionate about building practical ML/NLP solutions and production-ready analytics that improve decision-making and user engagement. I bring strong programming, cloud, and visualization skills and seek roles where I can apply and scale AI solutions.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Sparsh Magic LLP
Jul 2023 - Aug 2023 (1 month)
Automated data workflows and reporting using Google Apps Script, reducing manual effort; designed interactive Power BI and Looker Studio dashboards to track KPIs and delivered data-driven insights that improved operational efficiency.
Education
Degrees, certifications, and relevant coursework
School of Data Science and Forecasting, DAVV Indore
M.Tech Dual Degree, Artificial Intelligence and Data Science
2021 -
Grade: CGPA 9.3
Pursuing a dual M.Tech degree in Artificial Intelligence and Data Science with strong academic performance (CGPA 9.3).
St. John Higher Secondary School, Rau
Class 12, Higher Secondary
2020 - 2021
Grade: 96%
Completed higher secondary education with 96% in Class 12.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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