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Data Analyst with less than a year in Data Visualization & Machine Learning
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Assessing your cultural and operational fit
Aspiring Data Analyst with a Computer Engineering background and PG-DAC certification in Advanced Computing. Proficient in SQL, Python (Pandas, NumPy, Matplotlib), Power BI, Tableau, and data visualization techniques. Experienced in Exploratory Data Analysis (EDA), statistical analysis, dashboard development, and reporting through academic and personal projects. Delivered data-driven solutions such as Data Science Job Market Analysis and Real-Time Image Classification using CNN. Strong analytical, problem-solving, and data interpretation skills with a passion for converting raw data into actionable business insights. Seeking roles as a Data Analyst, BI Analyst, or Data Analytics Associate.
Institute for Advanced Computing and Software Development (IACSD)
PG Diploma · Advanced Computing
N/A – June 30, 2024
JSPM's Imperial College of Engineering and Research
B.Tech / B.Ε. · Computer Science and Engineering (CSE)
N/A – June 30, 2023
Oasis Infobyte
Software Developer Intern
March 1, 2022 – April 1, 2022
India
Data Science Job market Eda
April 1, 2026 – June 1, 2026
- Analyzed over 7,000 data science job postings using Python, Pandas, and SQL to extract in-demand skills, hiring trends, and key job requirements. - Applied advanced Regex techniques to systematically parse and identify critical keywords and qualifications within job descriptions. - Aggregated and visualized data leveraging Pandas, Matplotlib, and WordCloud to generate comprehensive, professional reports for strategic decision-making. - Conducted exploratory data analysis (EDA), statistical evaluations, and developed interactive dashboards and graphical reports to provide actionable insights from real-world datasets.
Real Time Image Classification using CNN
April 1, 2026 – June 1, 2026
Developed a real-time image classification system using CNN and openCV for live webcam-based object recongnization perforamed image preprocessing, normalization and augmentation to improve model accuracy and performance.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a keen interest in data analysis and machine learning, aligning well with a data-centric organizational culture. The academic background in Computer Science and Advanced Computing, coupled with practical project experience, suggests a proactive learning attitude. The internship experience, though short, shows an ability to contribute to business objectives. The diversity of projects (job market analysis, image classification) indicates a broad interest in data applications.
Soft Skills & Operational Fit
The candidate's profile summary highlights strong analytical, problem-solving, and data interpretation skills, which are crucial for a Data Analyst. The project descriptions indicate an ability to work with real-world datasets and deliver comprehensive reports, suggesting good operational fit for data-driven environments. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.