Sayyaparaju V S L Pravallika

Sayyaparaju V S L Pravallika

Analyze and validate data, find inconsistencies, and generate insights for decisions.
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
22 years old
Location:
Hyderabad, Telangana, India
Experience:
0 years
About

I am a Data Science graduate with a strong foundation in data analytics, statistical analysis, and machine learning, combined with hands on experience working with structured datasets in real world environments. In my current role at CDK Global, I work extensively with data validation, quality assurance, and identifying inconsistencies using predefined rules, ensuring high data accuracy and reliability. This experience has strengthened my attention to detail and ability to work with large-scale data in a structured and methodical way.

I am proficient in SQL and Python, using tools such as Pandas and NumPy to clean, analyze, and interpret data. I also have experience with Power BI for dashboarding and reporting, enabling me to translate data into meaningful insights that support decision making. My academic projects, an AI powered healthcare chatbot and a deep learning based microplastic detection system, have helped me develop practical skills in machine learning, data preprocessing, and pattern recognition.

Beyond technical skills, I bring strong problem solving abilities, communication skills, and leadership experience through my roles in Student Self Governance, TEDXHITAM and Toastmasters International, where I have led teams, managed initiatives, and presented ideas effectively. I enjoy working in collaborative environments and am comfortable translating complex data into clear, actionable insights for different stakeholders.

I am particularly interested in roles that combine data analysis with real world impact, where I can contribute to improving systems, enhancing data quality, and supporting data driven strategies. I am also keen on exploring opportunities at the intersection of data and product, where analytical thinking can drive meaningful improvements in user experience and system performance.

Languages
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