Data Analyst with less than a year in Data Analysis & Python
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent B.Tech graduate in Computer Science Engineering with foundational knowledge of Data Analysis, SQL, Microsoft Excel, and Python. Skilled in data collection, data cleaning, data visualization, and database management concepts. Possessing strong analytical and problem-solving abilities, with a keen interest in transforming data into actionable insights. Seeking an entry-level Data Analyst position to apply technical and analytical skills in a professional environment.
IEEE
Volunteer
June 1, 2026 – Present
India
Torc Infotech Pvt. Ltd.
Cyber Security and Ethical Hacking Internship
July 15, 2024 – July 31, 2024
Kalamassery, Kerala, India
Voice Assistant – ANGEL
March 1, 2024 – May 31, 2024
Developed a Python-based voice assistant using Speech Recognition and pyttsx3 for voice input and output. Processed user commands and managed data efficiently for task execution. Integrated APIs for weather updates, web search, and system commands. Designed a simple GUI using Tkinter for enhanced user interaction. Collaborated with team members to successfully complete and demonstrate the project.
Cultural Fit Analysis
The candidate's academic project and internship show an interest in applying technical skills. The volunteer experience indicates a willingness to contribute to community and collaborate. The listed soft skills like teamwork and communication suggest a good fit for a team-oriented environment. However, the project diversity is limited, and the experience is entry-level, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, attention to detail, communication, teamwork, time management, and leadership as soft skills. The volunteer experience at IEEE supports teamwork and organizational skills. The internship also emphasizes analytical and problem-solving skills. These align well with the collaborative and analytical nature of a Data Analyst role.