Anjani Samhitha Jasti

I’m a data-driven professional with a Bachelor's in Computer Science & Engineering (specialization in Data Analytics) from VIT Amaravati. Currently working as a Technical Analyst at ION Group, I handle production support, incident management, and client coordination—developing a strong foundation in real-time data monitoring and root-cause analysis.

My core strengths lie in data analysis, ML-based problem solving, and communication across cross-functional teams. I’ve worked on impactful projects such as:

Student Admit Prediction, where I used regression models to achieve 95% accuracy in predicting university admissions.

Robo Call Detection, an award-winning project using ML/DL to support law enforcement in filtering fake distress calls.

With skills in SQL, Excel, Python, R, Pandas, Seaborn, and Scikit-learn, I enjoy working on data interpretation, feature extraction, and visualization.

Recognized as a Smart India Hackathon Winner and Microsoft Imagine Cup India Runner-Up, I also served as a Peer Mentor & Ambassador at Microsoft, helping students explore cloud computing and Azure tools.

I’m seeking roles that blend analytical thinking with real-world impact, such as Data Analyst, AI Product Analyst, Business Intelligence Specialist, or ML Ops Support — where I can contribute through data insights and strategic decision-making.

* Delivered L1 support as part of the First Response Team, conducting incident analysis, managing
bridge calls, and escalating production issues to relevant Lines of Business (LOBs) to ensure minimal
downtime.
* Collaborated with clients to quickly resolve technical issues, including real-time troubleshooting during
client calls and post-incident follow-ups to ensure client satisfaction.
* Actively participated in weekly Change Advisory Board (CAB) meetings, reviewing and coordinating
upgrades, patches, and maintenance activities across client environments.
* Supported new project initiatives by performing end-to-end testing and documenting technical
workflows, contributing to seamless onboarding and integration.
* Drove incident and problem management processes by identifying recurring issues, coordinating root
cause analysis, and contributing to long-term resolutions.
* Created and maintained a centralized knowledge base for new projects and operational procedures,
promoting process consistency and efficient issue resolution across the team.

I hold a Bachelor's degree in Computer Science and Engineering with a specialization in Data Analytics. As an active member of communities such as CodeChef, ACM, and Women Techmakers, I have organized and facilitated workshops, technical training sessions, and both intra- and inter-college hackathons, with a focus on Data Structures and Algorithms. Additionally, I worked as a research assistant under faculty guidance and co-authored a research paper utilizing Python, Java, and data visualization tools.