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Data Analyst with 3+ years in sales engineering and data storytelling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring data analyst with 3 years of experience in sales engineering. seeking to leverage advanced excel, power bi, and data storytelling skills to uncover actionable business insights and drive operational efficiency.
New Horizon college of Engineering
Bachelor of Engineering
August 1, 2022 – June 30, 2022
Basaveshwara PU college
PUC
June 1, 2017 – May 31, 2017
Morarji Desai residential school
SSLC
June 1, 2016 – May 31, 2016
Mas Industries pvt Ltd
Sales engineer
April 1, 2023 – Present
Bengaluru, Karnataka, India
Sales performance intelligence dashboard
June 24, 2026 – Present
1)Built a comprehensive sales performance dashboard using dax and power query to visualize regional revenue growth and client procurement cycles. 2)Automated data refresh workflows, reducing report generation time from 4 hours to 15 minutes.
Inventory demand forecasting
June 24, 2026 – Present
1)Developed an inventory management tool that used historical sales data and trend analysis to predict component demand, reducing stock-outs by 20%.
Customer procurement analysis
June 24, 2026 – Present
1)Analyzed 3 years of procurement data from 50+ clients, identifying patterns in order cycles. 2)Presented actionable insights to management, resulting in a 10% improvement in inventory planning and reduced procurement bottlenecks.
Cultural Fit Analysis
The candidate's experience as a Sales Engineer, while not a direct Data Analyst role, shows a strong business acumen and a focus on using data to drive sales and operational efficiency. This aligns well with a data analyst role that requires understanding business context. The projects demonstrate initiative in applying data analysis techniques to real-world business problems (inventory, sales, procurement). The breadth of skills (Excel, Power BI, SQL, SAP, CRM) indicates adaptability and a willingness to learn diverse tools. However, the experience is primarily within one company and industry, which might limit exposure to diverse data challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project descriptions, particularly in identifying patterns, forecasting demand, and optimizing processes. Their ability to automate workflows and present actionable insights suggests a proactive and efficiency-oriented work attitude. The experience in customer relationship management indicates good interpersonal skills, which are valuable for a data analyst who needs to communicate findings to stakeholders.