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Bench Sales Recruiter with less than a year in Data Analytics and Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To leverage my proven ability to identify and recruit top talent from a bench of available consultant, utilizing strong relationship-building skills to successfully place candidate with clients, driving revenue growth for the organization. Internship, Training Experience.
S B Patil College Of Engineering Indapur
Computer Engineering
August 1, 2021 – June 30, 2025
Sharadabai Pawar Mahila Mahavidyalaya Baramati
HSC
June 1, 2021 – May 31, 2021
Netaji Subhash Vidyalaya Kettur 2 Karamala
SSC
June 1, 2019 – May 31, 2019
Profound
Diploma in Data Analytics
October 8, 2025 – February 21, 2026
India
ICT Academy
Data Analytics
August 21, 2024 – October 8, 2024
India
Ajsprire Technologies Pvt. Ltd.Baramati
Web development
December 11, 2023 – January 13, 2024
Bārāmati, Maharashtra, India
Campus recruitment system using machine learning
June 23, 2026 – Present
Developed a Campus Recruitment System using Machine Learning and Python, MySQL, and AI/ML libraries, to streamline the hiring process. The system helps and enhance the recruitment process for both students and employers by leveraging machine learning techniques. This System employs machine learning models to analyze and match resumes with job descriptions.
Call centre Analysis Dashboard
June 23, 2026 – Present
The Call Centre Analysis Dashboard provides a comprehensive overview of call center performance by tracking key metrics such as total calls handled, average handling time (AHT), first call resolution (FCR), customer satisfaction (CSAT), and agent performance. The dashboard enables real-time monitoring of inbound and outbound call trends, helping management identify peak hours, call volume patterns, and service bottlenecks. Interactive visualizations such as KPI cards, bar charts, line graphs, and heatmaps allow stakeholders to analyze performance by agent, team, region, and time period. The dashboard also highlights call abandonment rates, response times, and service level agreement (SLA) compliance to ensure operational efficiency.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying technology to real-world problems, including recruitment. The internships in Data Analytics and Web Development show a willingness to learn and adapt to different technical domains. The objective clearly aligns with a Bench Sales Recruiter role, indicating a focused career interest. The breadth of skills (Python, SQL, HTML, CSS, Power BI) suggests a versatile individual. However, the lack of direct recruitment or sales experience means the cultural fit for a sales-driven environment would need further validation.
Soft Skills & Operational Fit
The candidate lists 'Communication - Team Work, Leadership' as skills, which are highly relevant for a Bench Sales Recruiter role. The project descriptions are clear and demonstrate an ability to articulate technical concepts. The academic background in Computer Engineering, combined with data analytics and web development internships, suggests a foundational understanding of technology, which could aid in operational fit for a tech-focused recruitment role. However, direct experience in sales or recruitment is absent, which might impact immediate operational fit.