Ashutosh Singh

Data Insight Analyst
March 23, 1996

About Candidate

Experienced Data Analyst with a strong track record of 2+ years in the healthcare sector. Proficient in data analysis, data visualization, and predictive modeling. Skilled in issue identification, opportunity discovery, and creating data pipelines for extraction, cleaning, and transformation. Expert in data validation, statistical analysis, and bridging communication between technical and non-technical teams. Proven ability to articulate team requirements to technical stakeholders. Seeking an opportunity to utilize domain expertise and technical acumen to generate data-driven insights and solutions in a dynamic and challenging work setting.

Location

Work & Experience

D
Data Insight Analyst September 2022 - Present
Pawanshree Food International Pvt. Ltd.

- Automated the generation of 20+ reports from single or multiple sources, streamlining the reporting process. - Validated data across various reports on MIS Dashboard to ensure accuracy and reliability. - Integrated multiple reports to create comprehensive datasets for in-depth analysis, improving data-driven decision making. - Developed various scripts to continuously monitor Key Performance Indicators, enhancing performance tracking. - Created a pipeline to download and transform logs into understandable reports from cloud to Monitoring & Evaluation team at fixed intervals for real-time analysis. - Ensured accuracy and consistency in reports by automating data consolidation processes, reducing errors by 15%. - Reduced manual effort and time spent on data handling by 20% through the implementation of automation techniques. - Acted as a liaison between the monitoring and technical teams, tracking and prioritizing bugs, evaluating new requirements, and ensuring seamless communication, leading to 2 lakhs+ consultations per month. - Processed confidential data and information according to the established guidelines, upholding data security and privacy standards. - Conducted 70+ training sessions for end- users on new reports and dashboards, enhancing user adoption and proficiency.

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