Aditya Anand

Data Analyst

https://www.opentalent.in/aditya-anand

University of Petroleum and Energy Studies

Key Strengths

Strong foundational skills in Python, SQL, Pandas, and NumPy, which are essential for data analysis.
Demonstrated practical experience in Exploratory Data Analysis (EDA), Feature Engineering, and foundational Time Series Analysis.
Successfully applied Machine Learning techniques (Decision Tree, Random Forest, SVM, CNN, LSTM) in the 'Intrusion Detection in UAV Networks' project, showcasing practical problem-solving abilities.
Exposure to emerging technologies like GenAI (LLMs, Prompt Engineering, Automation Workflows) indicates a proactive learning approach.
Possesses strong analytical thinking, problem-solving, and communication skills, as stated and evidenced by project work and community engagement.
Experience in data collection and public interaction from the social welfare organization role, which can be valuable for stakeholder engagement in data analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's summary explicitly states an 'open to learning, collaboration, and contributing thoughtfully to real-world problem solving' attitude, which aligns well with a positive and growth-oriented team culture. Their experience with the 'Creative Educational & Social Welfare Organization' demonstrates a commitment to social impact and community engagement, suggesting a value-driven individual. The breadth of interests, including web development and embedded systems, indicates adaptability and intellectual curiosity, which are beneficial for cultural integration.

Soft Skills & Operational Fit

The candidate demonstrates strong analytical thinking, problem-solving, and communication skills. Their involvement in community work and stated interest in collaboration suggest a team-oriented and socially aware individual. The summary highlights an open-to-learning mindset, which is crucial for adapting to new challenges and technologies. These attributes indicate a good operational fit for roles requiring both technical acumen and interpersonal skills.

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About

During my internship at Ammunic System and Digite IT Chip Service, I gained practical experience and improved my technical knowledge. I worked on learning industry tools, understanding real-world workflows, and improving my problem-solving and teamwork skills. The internship helped me gain hands-on experience, develop professional communication, and understand how technology is applied in real projects. Overall, it was a valuable learning experience that improved both my technical and professional skills.

Key Strengths

Strong foundational skills in Python, SQL, Pandas, and NumPy, which are essential for data analysis.
Demonstrated practical experience in Exploratory Data Analysis (EDA), Feature Engineering, and foundational Time Series Analysis.
Successfully applied Machine Learning techniques (Decision Tree, Random Forest, SVM, CNN, LSTM) in the 'Intrusion Detection in UAV Networks' project, showcasing practical problem-solving abilities.
Exposure to emerging technologies like GenAI (LLMs, Prompt Engineering, Automation Workflows) indicates a proactive learning approach.
Possesses strong analytical thinking, problem-solving, and communication skills, as stated and evidenced by project work and community engagement.
Experience in data collection and public interaction from the social welfare organization role, which can be valuable for stakeholder engagement in data analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit